In the realm of technology that matters for business and IT, our firm as part of our responsibility continually assesses the latest technology and how it can impact organizations’ efficiency and effectiveness. Our benchmark research in technology innovation found that 87% of participants indicated the importance of increasing the organization’s value through technology innovation. Every year we take our knowledge from research and technology briefings to focus on our Technology Innovation Awards and determine the vendors and products that have the potential to drive change in the market, the competitiveness of an organization’s business and sometimes just how efficiently a company operates. Our firm believes that Innovation can come from any size technology vendor from the smallest to the largest that are measured on a spectrum of attributes that contribute to the specific impact of the technology.
Topics: Big Data, Datameer, Mobile, Sales, Sales Performance, Social Media, Supply Chain Performance, Sustainability, Customer, ESRI, Globoforce, GRC, HCM, Kronos, Kyriba, Location Analytics, Marketing, NetBase, Office of Finance, Overall Operational Leadership, Peoplefluent, Planview, SQLstream, VMWare, VPI, IT Analytics & Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, CIO, Cloud Computing, Collaboration, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Hortonworks, IBM, Informatica, Information Applications, Information Builders, Information Management, Information Technology, KXEN, Location Intelligence, Operational Intelligence, Oracle, Workforce Performance, Contact Center, Datawatch, Financial Management, Information Optimization, Johnson Controls Panoptix, Roambi, Service & Supply Chain, Upstream Works, Vertex, Xactly
A few months ago, I wrote an article on the four pillars of big data analytics. One of those pillars is what is called discovery analytics or where visual analytics and data discovery combine together to meet the business and analyst needs. My colleague Mark Smith subsequently clarified the four types of discovery analytics: visual discovery, data discovery, information discovery and event discovery. Now I want to follow up with a discussion of three trends that our research has uncovered in this space. (To reference how I’m using these four discovery terms, please refer to Mark’s post.)
Topics: Datameer, SAP, Splunk, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, IBM, Information Applications, Information Builders, Operational Intelligence, Oracle, Data Discovery, Information Discovery
Datameer , a Hadoop-based analytics company, had a major presence at recent Hadoop Summit, led by CEO Stephan Groschupf’s keynote and panel appearance. Besides announcing its latest product release, which is an important advance for the company and its users, Datameer’s outspoken CEO put forth contrarian arguments about the current direction of some of the distributions in the Hadoop ecosystem.
Users of big data analytics are finally going public. At the Hadoop Summit last June, many vendors were still speaking of a large retailer or a big bank as users but could not publically disclose their partnerships. Companies experimenting with big data analytics felt that their proof of concept was so innovative that once it moved into production, it would yield a competitive advantage to the early mover. Now many companies are speaking openly about what they have been up to in their business laboratories. I look forward to attending the 2013 Hadoop Summit in San Jose to see how much things have changed in just a single year for Hadoop centered big data analytics.
Topics: Big Data, Datameer, Sales Performance, SAS, Supply Chain Performance, Teradata, alteryx, IT Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), IBM, Information Applications, Location Intelligence, Operational Intelligence, Workforce Performance, Strata+Hadoop
I had a refreshing call this morning with a vendor that did not revolve around integration of systems, types of data, and the intricacies of NoSQL approaches. Instead, the discussion was about how its business users analyze an important and complex problem and how the company’s software enables that analysis. The topic of big data never came up, and it was not needed, because the conversation was business-driven and issue-specific.
Topics: Big Data, Datameer, Predictive Analytics, Sales Performance, Supply Chain Performance, Planview, SuccessFactors, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, IBM, Information Management, Operational Intelligence, Workforce Performance, PivotLink