Organizations now must store, process and use data of significantly greater volume and variety than in the past. These factors plus the velocity of data today — the unrelentingly rapid rate at which it is generated, both in enterprise systems and on the internet — add to the challenge of getting the data into a form that can be used for business tasks.
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Topics:
Analytics,
Business Intelligence,
Data Governance,
Data Preparation,
Information Management,
Internet of Things,
Data,
Digital Technology,
blockchain,
data lakes,
AI & Machine Learning
Domopalooza 2019 marked the first annual user conference after Domo went public, but the energy, excitement and new feature announcements have not slowed. With thousands in attendance and growing fast, this year's conference focused on five key areas: digitization, real time connectivity, driving insight based actions, applying AI & machine learning, and building applications. All of these announcements are aimed at broadening the workloads supported by Domo.
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Topics:
Analytics,
Business Intelligence,
Collaboration,
Data Integration,
Data Management,
Data Preparation,
Domo
Workiva recently introduced Wdata, a cloud facility for centralizing financial and non-financial information from multiple sources. It frees up time for finance organizations, especially financial planning and analysis (FP&A) groups, to explore conditions and trends in their business because they need to spend less of it gathering data and preparing it for analysis and reporting. Ventana Research recently awarded Workiva our Digital Innovation award for Wdata because of its transformative...
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Topics:
Office of Finance,
Recurring Revenue,
Continuous Planning,
Data Governance,
Data Preparation,
Financial Performance Management,
Price and Revenue Management,
Enterprise Resource Planning,
ERP and Continuous Accounting,
Sales Planning and Analytics,
revenue recognition
IBM's Analytics University (held in both Miami and Stockholm) brought about some large changes. Big announcements this year included a consolidation of IBM's Watson Analytics into Cognos 11.1, helping provide some clarity to their analytics offerings, along with new visualizations and better data preparation. This also includes a new conversational assistant to help generate narrative explanations of displays and interactive queries.For the full breakdown of IBM's Analytics University 2018,...
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Topics:
Big Data,
Analytics,
Business Intelligence,
Data Preparation,
AI,
natural language processing
Once again I attended Tableau's Users Conference, along with 17,000 other attendees, affectionately self-referred to as "data nerds". Pushing the envelope in data capabilities and access, Tableau introduced the "Ask Data" feature, allowing users to prose natural language queries and receive a response, along with new data preparation capabilities and other enhancements to help data analysts. Further, Tableau announced new developer enhancements including a new developer program to better align...
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Topics:
Big Data,
Data Governance,
Data Integration,
Data Preparation,
Tableau Software,
data lakes
This year, Teradata rebranded the Teradata users conference from "Partners" to "Analytics Universe", and there is a reason for it. For decades, Teradata has represented the high end of the analytic database, but new innovations and technologies are adding flexibility to Teradata's licensing as they compete. For the full breakdown of Teradata's Analytics Universe 2018, and my analysis of all the largest announcements, watch my hot take video.
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Topics:
Big Data,
Data Warehousing,
Teradata,
Analytics,
Data Governance,
Data Management,
Data Preparation,
Information Management,
Data,
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...
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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
PROS Holdings is a software vendor with two distinct but related sets of products. The company began in 1985 offering revenue management software to airlines, hospitality and rental car companies. More recently it added price and revenue management software focusing on B2B services, chemicals and energy, consumer goods manufacturers, food and beverage, healthcare, insurance and technology. This note focuses on the B2B portion of the business.
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Topics:
Big Data,
Sales,
Customer Experience,
Marketing,
Office of Finance,
Analytics,
Data Preparation,
Sales Performance Management,
Financial Performance Management,
Price and Revenue Management,
Digital Marketing,
Digital Commerce,
Pricing and Promotion Management,
Sales Enablement and Execution
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...
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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