Big data was big news in 2012 and probably in 2013 too. The Harvard Business Review talks about it as The Management Revolution. The Wall Street Journal says Meet the New Boss: Big Data, and Big Data is on the Rise, Bringing Big Questions. Given big data’s popularity in the press, you might think that the technology market is only about big data and how companies use the vast and growing amount of data now available to organizations. While this technology can provide a significant opportunity, the reality is that just having big data does not provide an organization with the intelligence to be more efficient or grow market share. It can provide the foundation on which organizations can assemble technologies and applications that can help realize these opportunities, but organizations need to focus on the big picture, which encompasses additional layers of technology that work together with big data. Our recent benchmark research on business technology innovation found that big data is not the top priority for business or IT; analytics, collaboration, mobile and cloud computing are all more important. Organizations do believe that big data is very important (25%), but if they were pushed to prioritize technologies, it would not top the list.
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Topics:
Big Data,
Data Warehousing,
Predictive Analytics,
Social Media,
Harvard Business Review,
Operational Performance Management (OPM),
Wall Street Journal,
Business Analytics,
Business Collaboration,
Business Intelligence,
CIO,
Cloud Computing,
Business Performance Management (BPM),
Customer Performance Management (CPM),
Financial Performance Management (FPM),
Information Management (IM),
IT Performance Management (ITPM),
Technology Innovation,
Strata+Hadoop
Kognitio has been serving the analytics and data needs of organizations for more than 20 years with an in-memory analytics platform that meets many of the big-data needs of today’s organizations. Kognitio Analytical Platform provides a unique massively parallel processing (MPP) in-memory database that can rapidly load data and calculate analytics; it is available both in an analytical software appliance and via cloud computing.
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Topics:
Big Data,
Data Warehousing,
Social Media,
alteryx,
Operational Performance Management (OPM),
Analytics,
Business Analytics,
Business Intelligence,
Cloud Computing,
Hortonworks,
Information Management,
Kognitio,
Business Performance Management (BPM),
Customer Performance Management (CPM),
Information Management (IM),
IT Performance Management (ITPM),
Strata+Hadoop
At first I thought 1010data just developed a faster data warehouse technology to be used with business intelligence tools. After a recent briefing, however, I learned that it provides much more than a data warehouse; the product is a large-scale analytics server that empowers business analysts to work on big data, conducting for, example, market basket analysis or correlations of customer and product information. The software lets organizations retain and analyze more data and increase the speed of analysis, which our benchmark research on big data found to be the top two benefits of the technology for more than 70 percent of organizations.
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Topics:
Big Data,
Data Warehousing,
Operational Performance Management (OPM),
Predictive,
Business Analytics,
Business Intelligence,
Cloud Computing,
Information Management,
Business Performance Management (BPM),
Customer Performance Management (CPM),
Financial Performance Management (FPM),
Information Management (IM),
Sales Performance Management (SPM)
This month at its annual global analyst summit, IBM Connect 2010 (Twitter: #Connect10), IBM updated its direction and strategy for enterprise software. The company’s group executive in charge of software and systems, Steve Mills, discussed the business, its success in 2010 and organizational changes in naming Senior VP Mike Rhodin to manage the solutions group (which includes Analytics, Lotus and Industry Solutions) and Senior VP Robert LeBlanc to manage the middleware group (WebSphere, Information Management, Rational and Tivoli). This change occurred as Mills takes responsibility for the systems group and brings more focus to IBM’s growing portfolio from acquisitions in the software and middleware areas. In an open discussion Mills also talked about advances in analytics, cloud computing, collaboration and mobility technologies that use business intelligence in the IBM Cognos portfolio (See: “Cognos 10 Breaks Down Barriers To Business Intelligence and Analytics“) and in information management technologies grouped in IBM InfoSphere (See: “IBM Makes InfoSphere Information Server a Force in IT”). Steve outlined the importance of the technology investments in each area and the growth of the IBM portfolio which is quite substantive.
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Topics:
Data Warehousing,
Operational Performance Management (OPM),
Analytics,
Business Intelligence,
Business Mobility,
Collaboration,
Enterprise Software,
Governance, Risk & Compliance (GRC),
IBM,
Operational Intelligence,
Business Performance Management (BPM),
Customer Performance Management (CPM),
Financial Performance Management (FPM),
Information Applications (IA),
Information Management (IM),
IT Performance Management (ITPM),
Supply Chain Performance Management (SCPM),
Workforce Performance Management (WPM)
No one has seemed to notice that in the last several months, Hewlett-Packard has quietly made changes to its participation in the enterprise software market; this will significantly change HP’s value for CIOs and IT organizations in regards to business intelligence (BI) technologies.
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Topics:
Data Warehousing,
Operational Performance Management (OPM),
Analytics,
Business Intelligence,
Enterprise Software,
HP,
HP Neoview,
Information Applications (IA),
Information Management (IM),
IT Performance Management (ITPM)
IBM has announced its intention to acquire Netezza, one of the world’s fastest-growing providers of data appliances, for approximately $1.7 billion. Founded only 10 years ago, Netezza has over 500 employees and 350 clients including brand names Burlington Coat Factory, Con-way Freight, Estee Lauder, Marriott and Nationwide Insurance. IBM has been investing in analytics software for five years and now becomes one of the strategic providers in the market. Many organizations are unwilling to spend the large amount of resources and budget to configure and tune complex databases like Microsoft, Oracle’s and even IBM on a specific brand of hardware and then have to deal with issues in storage, performance and scalability in processing data across their network. Instead they would like to find a technology package that handles data simply for various analytic purposes and is as easy to buy as a dishwasher or a clothes dryer.
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Topics:
Data Warehousing,
Analytics,
Business Intelligence,
Netezza,
Information Management (IM)
