We are happy to offer some insights on Qlik drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern business intelligence, we developed specific criteria for each in order to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use.
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Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
Microsoft Motivates Businesses to Examine BI Options
Posted by
Ventana Research on Sep 16, 2019 7:00:00 AM
We are happy to offer some insights on Microsoft drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern business intelligence, we developed specific criteria for each in order to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use.
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Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
Conversational Computing and More News from Oracle Analytics Summit 2019
Posted by
David Menninger on Sep 13, 2019 12:00:00 PM
The Oracle Analytics Summit 2019 was the inaugural user event for Oracle Analytics customers, and they also broadcast the video for thousands of others. You can watch the keynote at https://www.youtube.com/watch?v=eY0IPNqzsy4. Executives talked about some big organizational changes, including Bruno Aziza joining last year to lead the analytics organization. This event marked a transition and "a new beginning" for the Oracle Analytics portfolio, as the company announced three new analytics products.
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Topics: Big Data, Data Science, Oracle Cloud, Oracle
We are happy to offer some insights on Looker drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern business intelligence, we developed specific criteria for each in order to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use.
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Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
Tableau Adopts New Enterprise Focus in Analytics and BI
Posted by
Ventana Research on Sep 11, 2019 7:00:00 AM
We are happy to offer some insights on Tableau drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts by Ventana Research. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern business intelligence, we developed specific criteria for each in order to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use.
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Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
We are happy to offer some insights on Oracle drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern business intelligence, we developed specific criteria for each in order to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use.
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Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
Salesforce Strives to Provide Usable Insights with Analytics
Posted by
Ventana Research on Sep 6, 2019 7:00:00 AM
We are happy to offer some insights on Salesforce drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts by Ventana Research. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern business intelligence, we developed specific criteria for each in order to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use.
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Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
We are happy to offer some insights on SAS drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts by Ventana Research. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern business intelligence, we developed specific criteria for each in order to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use.
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Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Digital Technology
Yellowfin Brings Collaborative Energy to Analytics and BI
Posted by
Ventana Research on Sep 2, 2019 7:00:00 AM
We are happy to offer some insights on Yellowfin drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts by Ventana Research. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern business intelligence, we developed specific criteria for each in order to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use.
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Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
Domo Makes Analytics and Business Intelligence Simple
Posted by
Ventana Research on Aug 30, 2019 7:00:00 AM
We are happy to share some insight on Domo drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern business intelligence, we developed specific criteria for each in order to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use.
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Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
SAP Shifts to New Strategy in Analytics and BI
Posted by
Ventana Research on Aug 28, 2019 7:00:00 AM
We are happy to offer some insights on SAP drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern business intelligence, we developed specific criteria for each in order to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use.
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Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
BOARD Brings New Business Potential with Analytics
Posted by
Ventana Research on Aug 26, 2019 7:00:00 AM
We are happy to share some insight on BOARD drawn from our Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern business intelligence, we developed specific criteria for each in order to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use.
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Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
Infor Brings Birst of Energy to Analytics and BI
Posted by
Ventana Research on Aug 23, 2019 7:00:00 AM
We are happy to share some insights on Infor based on our latest market Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern business intelligence, we developed specific criteria for each in order to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use.
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Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
We are happy to share some insights about IBM drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.
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Topics: Data Science, Mobile, business intelligence, Analytics, Cloud Computing, Collaboration, Digital Technology
We are happy to offer some insights on MicroStrategy drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on Mobile, Embedded and Collaborative capabilities. Because each is a critical aspect of modern business intelligence, we developed specific criteria for each in order to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use.
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Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
Information Builders Is a Leader in Analytics and BI
Posted by
Ventana Research on Aug 15, 2019 7:00:00 AM
We are happy to offer some insights on Information Builders drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements. Earlier this year we published the Ventana Research Value Index: Analytics and Business Intelligence 2019, the distillation of a year of market and product research efforts. We then developed three additional Value Indexes on Analytics and BI focusing on mobile, embedded and collaborative capabilities. Because each is a critical aspect of modern business intelligence, we developed specific criteria for each in order to provide an in-depth look at features geared specifically to mobile, embedded and collaborative use.
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Topics: Data Science, Mobile, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
Big Data, Machine Learning and Alteryx Inspires 2019
Posted by
David Menninger on Jul 26, 2019 6:00:00 AM
Alteryx Inspire 2019, this year's user conference for Alteryx, drew around 4500 customers, partners, and prospects to Nashville’s Gaylord Opryland Resort & Convention Center in Tennessee last month. The strong attendance was a reflection of the strong growth Alteryx has experienced over the last year; roughly 50% growth year-over-year. This year's conference focused on Alteryx's evolution from data preparation to AI and machine learning, and both were front and center.
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Topics: Big Data, Data Science, alteryx, Machine Learning, Data Integration, Data Management, Alteryx Inspire
Qlik Sticks to Interactive Analytics and Discovery
Posted by
David Menninger on Apr 19, 2019 7:00:00 AM
I am happy to offer some insights on Qlik drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence. We evaluated Qlik and 14 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on analytics and business intelligence.
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Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
Microsoft Races to Catch Up in Analytics and BI Market
Posted by
David Menninger on Apr 15, 2019 7:00:00 AM
I am happy to offer some insights on Microsoft drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence. We evaluated Microsoft and 14 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on analytics and business intelligence.
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Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
I am happy to offer some insights on Looker drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence. We evaluated Looker and 14 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on analytics and business intelligence.
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Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology, looker
I am happy to offer some insights on Tableau drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence. We evaluated Tableau and 14 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on analytics and business intelligence.
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Topics: Data Science, Tableau, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
I am happy to offer some insights on Oracle drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence. We evaluated Oracle and 14 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on analytics and business intelligence.
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Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
Salesforce Enlists Einstein to Bolster Its Analytics Muscle
Posted by
David Menninger on Mar 29, 2019 6:00:00 AM
I am happy to offer some insights on Salesforce.com drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence. We evaluated Salesforce.com and 14 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on analytics and business intelligence.
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Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
I am happy to offer some insights on SAS drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence. We evaluated SAS and 14 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on analytics and business intelligence.
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Topics: Data Science, SAS, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
I am happy to offer some insights on Yellowfin drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence. We evaluated Yellowfin and 14 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on analytics and business intelligence.
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Topics: Data Science, Mobile Technology, business intelligence, Analytics, Cloud Computing, Collaboration, Yellowfin, Digital Technology
Domo Continues to Expand Cloud-Based BI and Analytics
Posted by
David Menninger on Mar 8, 2019 6:00:00 AM
I am happy to share some insight on Domo drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence. We evaluated Domo and 14 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on analytics and business intelligence.
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Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Domo, Digital Technology
SAP Consolidates Its Analytics Efforts in The Cloud
Posted by
David Menninger on Mar 1, 2019 6:00:00 AM
I am happy to offer some insights on SAP drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence. We evaluated SAP and 14 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on analytics and business intelligence.
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Topics: Data Science, SAP, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
BOARD Combines Business Intelligence with Planning
Posted by
David Menninger on Feb 20, 2019 6:00:00 AM
I am happy to share some insight on BOARD drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence. We evaluated BOARD and 14 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on analytics and business intelligence.
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Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology, BOARD International
I am happy to share some insights on Infor based on our latest market Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence. We evaluated Infor and 14 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on analytics and business intelligence.
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Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Infor, Digital Technology, Infor Birst
I am happy to share some insights about IBM drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence. We evaluated IBM and 14 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on analytics and business intelligence.
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Topics: Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Digital Technology
Information Builders Earns Top Analytics and BI Honors
Posted by
David Menninger on Feb 6, 2019 6:00:00 AM
I am happy to offer some insights on Information Builders drawn from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. We utilized a structured research methodology that includes evaluation categories designed to reflect the breadth of the real-world criteria incorporated in a request for proposal (RFP) and vendor selection process for analytics and business intelligence software. We evaluated Information Builders and 14 other vendors in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). To arrive at the Value Index rating for a given vendor, we weighted each category to reflect its relative importance in an RFP process, with the weightings based on our experience and data derived from our benchmark research on analytics and business intelligence.
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Topics: Data Science, business intelligence, Mobile Intelligence, Analytics, Cloud Computing, Collaboration, Digital Technology
How Do Analytics and Business Intelligence Vendors Stack Up?
Posted by
David Menninger on Feb 4, 2019 6:00:00 AM
I am happy to share some insights gleaned from our latest Value Index research, which provides an analytic representation of our assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Business Intelligence 2019 is the distillation of a year of market and product research efforts by Ventana Research. Drawing on our benchmark research, we apply a structured research methodology built on evaluation categories that are designed to reflect the real-world criteria incorporated in a request for proposal to vendors in analytics and business intelligence. Using this methodology, we evaluated vendor submissions in seven categories, five relevant to the product (adaptability, capability, manageability, reliability and usability) and two related to the vendor (TCO/ROI and vendor validation). This research-based index is the first such evaluation to assess the full business value of analytics and business intelligence software. You can learn more about our Value Index as an effective vendor selection and RFI/RFP tool at https://www.ventanaresearch.com/value-indexes/inclusion.
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Topics: Data Science, business intelligence, Mobile Intelligence, Analytics, Cloud Computing, Collaboration, Digital Technology
Analytics and Business Intelligence for a Data-Driven World
Posted by
David Menninger on Jan 29, 2019 6:00:00 AM
Ventana Research provides unique insight into the analytics and business intelligence (BI) industry. This is important, as its processes and technology play an instrumental role in enabling an organization’s business units and IT to utilize its data in both tactical and strategic ways to perform optimally. To accomplish this, organizations must provide technology that can access the data, generate and apply insights from analytics, communicate the results and support collaboration as needed.
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Topics: Data Science, business intelligence, Mobile Intelligence, Analytics, Cloud Computing, Collaboration, Digital Technology
In 2017 Strata + Hadoop World was changed to the Strata Data Conference. As I pointed out in my coverage of last year’s event, the focus was largely on machine learning and artificial intelligence (AI). That theme continued this year, but my impression of the event was of a community looking to get value out of data regardless of the technology being used to manage that data. The change was subtle: The location was the same; the exhibitors were largely the same; attendance was similar this year and last. But there was no particular vendor or technology dominating the event.
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Topics: Big Data, Data Science, Machine Learning, Analytics, Business Intelligence, Data Governance, Data Integration, Data Preparation, Information Optimization, Digital Technology, Machine Learning and Cognitive Computing
From Analytics to Action Requires Collaboration
Posted by
David Menninger on Sep 20, 2018 8:35:24 AM
All too often, software vendors view analytics as the end rather than the beginning of a process. I’m reminded of some of the advanced math classes I’ve taken in which the teaching process focused on a few key aspects of a mathematical proof or solution, leaving the rest of the exercise to be worked out by the students. In other contexts, you may hear people say the numbers speak for themselves.
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Topics: Data Science, Machine Learning, business intelligence, Analytics, Collaboration, Data Governance, Information Optimization, Digital Technology, collaboration for business
A Superior Employee Experience – A New Business Imperative
Posted by
Ventana Research on Jun 14, 2018 8:10:54 AM
Employee engagement has been a dominant theme in both human capital management (HCM) and the systems to manage it in recent years; lately (though not necessarily appropriately) it is a topic often equated with the notion of the employee experience. On a related point, Gallup’s annual employee engagement survey has consistently found the majority of today’s workforce to be disengaged, defined as “not enthusiastic or passionate about their work.” Interest in the degree to which HCM technology can improve employee engagement (or mitigate disengagement) now rivals the attention given to such perennial chief human resources officer (CHRO) concerns as attracting and retaining top talent and retooling the workforce.
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Topics: Big Data, Data Science, Human Capital Management, Machine Learning, Learning Management, Analytics, Business Intelligence, Cloud Computing, Collaboration, HRMS, Workforce Management, Digital Technology, Workforce Optimization
We now are well beyond the year depicted in 2001: A Space Odyssey, a cinematic perspective on the future of artificial intelligence in which HAL 9000, a computer, is able to simulate human behavior and control machines. Anyone reviewing the past two years of marketing around AI in the business technology industry can be forgiven for believing that we have arrived at the futuristic state Stanley Kubrick imagined. We have not.
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Topics: Big Data, Data Science, Mobile, Customer Analytics, Customer Engagement, Customer Experience, Machine Learning, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Customer Service, Data Governance, Data Integration, Data Preparation, Internet of Things, Contact Center, Information Optimization, Digital Technology, Machine Learning and Cognitive Computing, Cybersecurity, Billing and Recurring Revenue, Workforce Optimization, collaboration for business
Blockchains are attractive because their built-in security and trust factors make them useful for almost all business interactions involving organizations and individuals. Blockchains have two basic functions. One is as a method for handling transactions involving property such as land deeds, trademarks or other assets. The second involves exchanges of data such as identities of individuals or businesses, the location of an object at a point in time or weather conditions. All interactions involving property or assets include the transfer of data as well, of course, but some blockchain use cases are informational only.
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Topics: Big Data, Data Science, Mobile, Marketing Performance Management, Office of Finance, business intelligence, Analytics, Cloud Computing, Data Governance, Data Integration, Data Preparation, Internet of Things, Digital Technology, Digital Marketing, Digital Commerce, Operations & Supply Chain
Workday recently presented a technology summit for industry analysts. The presentations focused on Workday’s ongoing product advancements as well as its approach to employing emerging technologies. These technologies include artificial intelligence (AI) and machine learning (ML), robotic process automation (RPA) and bots utilizing natural language processing. Ventana Research uses the term “robotic finance” to refer to these technologies when used in the office of finance. In our view, they will have a profound impact on the nature of white-collar work over the coming decade. Financial management and ERP software vendors are focusing on these technologies because they will disproportionately affect finance and accounting departments: I estimate that their adoption has the potential to eliminate one-third of the accounting department’s workload within a decade.
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Topics: Big Data, Data Science, Mobile, Machine Learning, Office of Finance, Continuous Planning, Cloud Computing, Collaboration, Financial Performance Management, ERP and Continuous Accounting
We are have arrived at the May 25, 2018 date when the European Union’s General Data Privacy Regulations (GDPR) become enforceable, following what has been a two-year transition period. Companies were given this time to put in place reasonable measures and the systems necessary to support the legislation’s wide-ranging personal data privacy requirements, which apply to any organization with more than 250 employees that serves EU citizens. While this regulation will apply in the EU, it has implications for any organization in the world that provides services involving the personal data of any EU citizen.
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Topics: Big Data, Data Science, Mobile, Sales, Customer Analytics, Customer Engagement, Customer Experience, Marketing, Analytics, Business Intelligence, Cloud Computing, Collaboration, Data Governance, Data Integration, Data Preparation, Internet of Things, Contact Center, Digital Technology, Digital Marketing, Digital Commerce, Cybersecurity, Billing and Recurring Revenue, collaboration for business, mobile marketing
Beyond Digital Transformation: Effective Technology Innovation in 2018
Posted by
Mark Smith on May 7, 2018 12:56:06 AM
Advancing the potential of any business requires continuous improvement in the processes and technology that support it. Many companies have embraced attempts at a digital transformation, and it’s become a goal to which organizational resources and budgets have been dedicated around the globe.
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Topics: Big Data, Data Science, Mobile, Sales, Customer Analytics, Customer Engagement, Customer Experience, Human Capital Management, Machine Learning, Marketing, Marketing Performance Management, Mobile Technology, Office of Finance, Wearable Computing, Analytics, Business Intelligence, Cloud Computing, Collaboration, Customer Service, Data Governance, Data Integration, Data Preparation, Internet of Things, Contact Center, Information Optimization, Product Information Management, Digital Technology, Digital Marketing, Digital Commerce, Operations & Supply Chain, Machine Learning and Cognitive Computing, Pricing and Promotion Management, Cybersecurity, Billing and Recurring Revenue, Workforce Optimization, collaboration for business, mobile marketing
Joining the Ventana Research Team and Community
Posted by
Ventana Research on Dec 6, 2017 5:39:34 AM
I’m thrilled to announce to my HCM vendor and practitioner network as well as the ever-expanding Ventana Research community that I’m now directing Ventana’s HCM practice. I will be working closely with our CEO and Chief Research Officer Mark Smith, who is a fellow HCM enthusiast and thought leader.
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Topics: Big Data, Data Science, Mobile, Human Capital Management, Machine Learning, Learning Management, Analytics, Cloud Computing, Collaboration, Internet of Things, HRMS, Workforce Management, Payroll Optimization, Customer Digital Technology
Broken Analytics and BI? Natural Language and Notifications Can Help
Posted by
Mark Smith on Jun 15, 2017 11:43:55 PM
If we look at the focus of technology vendors for analytics and business intelligence or business applications providers deploying these capabilities in the last five years, we see that they have elevated the importance on the value of visualization and dashboards. These promotions might be understandable, but will they make business and the people using them more intelligent?
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Topics: Big Data, Data Science, Mobile, Machine Learning, Analytics, Business Intelligence, Cloud Computing, Collaboration, Information Optimization, Digital Technology, Machine Learning and Cognitive Computing
This year various types of organizations are embracing machine learning like it is going out of style – or maybe it would be better to say coming into style. And now with a little investigation on LinkedIn finds over half million professionals with machine learning in their job title. Machine learning is the application of specific data science algorithms that become more accurate as the system records more outcomes and processes more data. This improvement is referred to as “learning,” hence the name. There are good reasons machine learning is growing so rapidly, but there are pitfalls to avoid as well.
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Topics: Big Data, Data Science, Analytics, Business Intelligence, Cloud Computing, Machine Learning and Cognitive Computing, Machine Learning Digital Technology
Informatica Asserts Its Commitment to the Cloud and Machine Learning
Posted by
David Menninger on May 27, 2017 12:20:03 AM
Informatica reintroduced itself to the world at its recent customer conference, Informatica World, in San Francisco. The company took advantage of the event to showcase its new branding in an effort to change the way customers think about the company. Informatica has been providing information services in the cloud for more than a decade. Even though cloud revenue comprises a minority of Informatica’s business, in absolute terms, the revenue is significant, and company executives want the public to recognize Informatica as a leader in cloud-based data management services for enterprises. Presenters also made notable product announcements, discussed below, including the application of machine learning to the data management process.
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Topics: Big Data, Data Science, Analytics, Business Intelligence, Cloud Computing, Data Governance, Data Integration, Data Preparation, Information Optimization, Machine Learning and Cognitive Computing, Machine Learning Digital Technology
Oracle recently held its second ERP Cloud Summit with industry analysts. The all-day event wasn’t just about ERP. The company covered a range of its business applications, including financial performance management as well as its Adaptive Intelligent Applications. And it wasn’t just about the cloud. After more than a decade of steady developments, ERP systems have begun to change fundamentally, facilitated by the growing availability of new technologies including cloud computing, advanced database architecture, collaboration, user interface design, mobility, analytics and planning. Here are my key takeaways from the event:
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Topics: Big Data, Data Science, Mobile, Customer Experience, Human Capital Management, Machine Learning, Office of Finance, Analytics, Data Integration, Internet of Things, Cognitive Computing, HRMS, Financial Performance Management, Mobile Marketing Digital Commerce, Digital Marketing, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, ERP and Continuous Accounting
Some 3,000 people attended Domo’s recent customer event, called Domopalooza. That’s nearly double the attendance of the previous event, which my colleague Mark Smith covered. Formerly a bit “stealthy,” Domo has started sharing more information, some of which I’ll pass along, as well as observations about product announcements made at the event.
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Topics: Data Science, Mobile, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Machine Learning and Cognitive Computing, Machine Learning Digital Technology
I recently attended SAS Institute’s analyst relations conference. There the company provided updates on its financial performance and its Viya platform and a glimpse into some of its future plans.
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Topics: Big Data, Data Science, Mobile Technology, business intelligence, Analytics, Cloud Computing, Collaboration, Data Governance, Data Integration, Data Preparation, Internet of Things, Information Optimization, Machine Learning and Cognitive Computing, Machine Learning Digital Technology
Cloudera provides database and enabling technology for the big data market and overall for data and information management. As my colleague David Menninger has written, the big data and information management technology markets are changing rapidly and require vendors to adapt to them. Cloudera has grown significantly over the last decade and now has approximately 1,000 customers and provides support and services in countries around the world. Its product and technology strategy is to provide a unified data management platform, Cloudera Enterprise, that can meet the data engineering and science needs for a range of analytic and operational database applications. Its primary focus is its Enterprise Data Hub, which as a data lake can handle organizations’ big data and analytical needs. As David Menninger asserts, the data lake is a safe way to invest in big data. It also helps shift the focus away from the V’s (volume, velocity and variety) of big data to the A’s, which are analytics, awareness, anticipation and action.
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Topics: Big Data, Data Science, Machine Learning, business intelligence, Analytics, Cloud Computing, Data Governance, Data Integration, Data Preparation, Internet of Things, Cognitive Computing, Information Optimization, Digital Technology
Digital Process Reengineering Drives Business Change
Posted by
Robert Kugel on Mar 23, 2017 9:28:07 AM
Business process reengineering was a consulting fashion in the early 1990s that spurred many companies to purchase their first ERP systems. BPR proposes a fundamental redesign of core business processes to achieve substantial improvements in market and customer responsiveness, productivity, cycle times and quality. ERP systems support business process reengineering by guiding the step-by-step execution of the redesigned process to ensure that it is performed consistently. They also automate the handoffs between individuals and departments to accelerate completion of that process.
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Topics: Big Data, Data Science, Mobile, Customer Analytics, Customer Experience, Machine Learning, Office of Finance, Wearable Computing, Continuous Planning, Analytics, Business Intelligence, Cloud Computing, Data Integration, Internet of Things, Financial Performance Management, Digital Technology, Digital Marketing, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, Machine Learning and Cognitive Computing, ERP and Continuous Accounting, Sales Planning and Analytics
More businesses are using software to implement and support a strategic pricing strategy designed to optimize revenue and margins in business-to-business (B2B) transactions because it can help improve results at the bottom line. “Optimize” in this instance means managing the trade-off that usually exists between revenue and profitability objectives in order to support a company’s strategy and capabilities in a given market. Business-to-business pricing management is Ventana Research’s term for such processes and applications. Software built for this purpose centralizes control and enforces consistency in pricing while assisting sales agents in negotiating prices that achieve desired business objectives. It enables agents to use techniques that can increase the revenue from a transaction, the margin on the sale or the probability of closing the sale.
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Topics: Big Data, Data Science, Sales, Office of Finance, Analytics, Cloud Computing, Sales Performance Management, Financial Performance Management, Price and Revenue Management, Pricing and Promotion Management, Sales Enablement and Execution, ERP and Continuous Accounting
Big data initially was characterized in terms of “the three V’s,” volume, velocity and variety. Nearly five years ago I wrote about the three V’s as a way to explain why new and different technologies were needed to deal with big data. Since then the industry has tackled many of the technical challenges associated with the three V’s. In 2017 I propose that we focus instead on a different letter, which includes these A’s: analytics, awareness, anticipation and action. I’ll explain why each is important at this stage of big data evolution.
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Topics: Data Science, Machine Learning, Analytics, Business Intelligence, Collaboration, Data Preparation, Internet of Things, Information Optimization
Senior finance executives and finance organizations that want to improve their performance must recognize the value of technology as a key tool for doing high-quality work. Consider how poorly your organization would perform if it had to operate using 25-year-old software and hardware. Having the latest technology isn’t always necessary, but it’s important for executives to understand that technology shapes a finance organization’s ability to improve its overall effectiveness.
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Topics: Big Data, Data Science, Mobile, Human Capital Management, Mobile Technology, Office of Finance, Continuous Planning, Analytics, Business Intelligence, Cloud Computing, Collaboration, Financial Performance Management, Price and Revenue Management, Inventory Optimization, Operations & Supply Chain, Enterprise Resource Planning, Sales and Operations Planning, Machine Learning and Cognitive Computing, ERP and Continuous Accounting
Research Agenda Will Track Big Data and Information Management in 2017
Posted by
David Menninger on Feb 15, 2017 9:09:50 AM
Big data has become an integral part of information management. Nearly all organizations have some need to access big data sources and produce actionable information for decision-makers. Recognizing this connection, we merged these two topics when we put together our recently published research agendas for 2017. As we plan our research, we focus on current technologies and how they can be used to improve an organization’s performance. We then share those results with our readers.
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Topics: Big Data, Data Science, Analytics, Data Governance, Data Integration, Data Preparation, Information Management, Internet of Things, Machine Learning and Cognitive Computing, Machine Learning Digital Technology
Research Agenda Will Guide Business Analytics in 2017
Posted by
David Menninger on Feb 8, 2017 8:19:39 AM
Ventana Research analysts recently published our research agendas for 2017. As we put together these plans we think about the forces that are shaping the markets that we cover and then craft agendas that study these issues to provide insights for our community. I’ve been working in the business intelligence (BI) and analytics market for nearly 25 years, and throughout that time the industry has been trying to make analytics useful to increasingly wider audiences. That focus continues to today. Better search and presentation methods, including visual discovery and natural-language processing, are promising ways to engage more users. We also see organizations supporting their users in specific functional roles with relevant and accessible analytics. My colleagues examine these issues as part of their agendas in the Office of Finance, Sales, Marketing, Customer Experience, Operations and Supply Chain, and Human Capital Management. While their agendas include analytics within specific domains, my own research focuses on a range of analytics issues across domains including cloud computing, mobility, collaboration, data science and the Internet of Things.
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Topics: Big Data, Data Science, Mobile Technology, Analytics, Business Intelligence, Cloud Computing, Collaboration, Internet of Things, Machine Learning and Cognitive Computing, Machine Learning Digital Technology
B2B Price and Revenue Optimization Goes Mainstream
Posted by
Robert Kugel on Jan 24, 2017 12:16:47 AM
Price and revenue optimization (PRO) is a business discipline used to produce demand-based pricing; it applies market segmentation techniques to achieve strategic objectives such as increased profitability or greater market share. In essence, PRO enables companies to surf the demand curve using dynamic rather than fixed pricing to achieve the most desirable trade-offs between revenue volume and profit margins. The trade-off is defined by strategic factors such as the company’s market position, product and service portfolio, and marketing strategy.
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Topics: Big Data, Data Science, Sales, Office of Finance, Analytics, Cloud Computing, Sales Performance Management, Financial Performance Management, Price and Revenue Management
IBM recently held its inaugural World of Watson event. Formerly known as IBM Insight, and prior to that IBM Information on Demand, the annual event, attended by 17,000 people this year, showcases IBM’s data and analytics and the broader IBM efforts in cognitive computing. The theme for the event, as you might guess, was the Watson family of cognitive computing products. I, for one, was glad to spend more time getting to know the Watson product line, and I’d like to share some of my observations from the event.
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Topics: Big Data, Data Science, Machine Learning, Analytics, Cloud Computing, Data Governance, Data Integration, Internet of Things, Information Optimization, Machine Learning and Cognitive Computing
RapidMiner Brings Self-Service to Predictive Analytics
Posted by
Ventana Research on Jul 28, 2016 3:44:55 AM
Predictive analytics is a rewarding yet challenging subject. In our benchmark research on next-generation predictive analytics at least half the participants reported that predictive analytics allows them to achieve competitive advantage (57%) and create new revenue opportunities (50%). Yet even more participants said that users of predictive analytics don’t have enough skills training to produce their own analyses (79%) and don’t understand the mathematics involved (66%). (In the term “predictive analytics” I include all types of data science, not just one particular type of analysis.)
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Topics: Big Data, Data Science, Predictive Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing
Cryptic Data: Challenges and Rewards in Finding and Using It
Posted by
Robert Kugel on Feb 18, 2016 7:10:21 PM
Using information technology to make data useful is as old as the Information Age. The difference today is that the volume and variety of available data has grown enormously. Big data gets almost all of the attention, but there’s also cryptic data. Both are difficult to harness using basic tools and require new technology to help organizations glean actionable information from the large and chaotic mass of data. “Big data” refers to extremely large data sets that may be analyzed computationally to reveal patterns, trends and associations, especially those related to human behavior and interaction. The challenges in dealing with big data include having the computational power that can scale to the processing requirements for the volumes involved; analytical tools to work with the large data sets; and governance necessary to manage the large data sets to ensure that the results of the analysis are accurate and meaningful. But that’s not all organizations have to deal with now. I’ve coined the term “cryptic data” to focus on a different, less well known sort of data challenge that many companies and individuals face.
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Topics: Big Data, Data Science, Planning, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, FP&A, Human Capital, Marketing, Office of Finance, Operational Performance Management (OPM), Budgeting, Connotate, cryptic, equity research, Finance Analytics, Kofax, Statistics, Operational Performance, Analytics, Business Analytics, Business Performance, Financial Performance, Business Performance Management (BPM), Datawatch, Financial Performance Management (FPM), Kapow, Sales Performance Management (SPM)
Five Principles for Optimizing Business Analytics
Posted by
Ventana Research on May 23, 2013 3:05:19 AM
Organizations today must manage and understand a flood of information that continues to increase in volume and turn it into competitive advantage through better decision making. To do that organizations need new tools, but more importantly, the analytical process knowledge to use them well. Our benchmark research into big data and business analytics found that skills and training are substantial obstacles to using big data (for 79%) and analytics (77%) in organizations.
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Topics: Data Science, Predictive Analytics, R, SAP, Analytics, Business Analytics, Business Intelligence, Business Performance, IBM, Information Applications, Operational Intelligence, Oracle
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