In today’s data-driven world, organizations need real-time access to up-to-date, high-quality data and analysis to keep pace with changing market dynamics and make better strategic decisions. By mining meaningful insights from enterprise data quickly, they gain a competitive advantage in the market. Yet, organizations face a multitude of challenges when transitioning into an analytics-driven enterprise. Our Analytics and Data Benchmark Research shows that more than one-quarter of organizations find it challenging to access data sources and integrate data and analytics in business processes. Vendors such as IBM offer a broad set of analytics tools with self-service capabilities that allows organizations to reduce IT dependencies and enables decision-makers to recognize performance gaps, market trends and new revenue opportunities. Its technology can simplify data access for self-service applications, enabling users to make business decisions informed by insights and take the guesswork out of decision-making.
Topics: embedded analytics, Analytics, Business Intelligence, IBM, IBM Watson, AI and Machine Learning
It’s part of my job to cover the ecosystem of Hadoop, the open source big data technology, but sometimes it makes my head spin. If this is not your primary job, how can you possibly keep up? I hope that a discussion of what I’ve found to be most important will help those who don’t have the time and energy to devote to this wide-ranging topic.
Topics: Big Data, Microsoft, Teradata, Business Analytics, Business Intelligence, IBM, Information Management, Operational Intelligence, Oracle, HPE, ODPI, Strata+Hadoop
Last week I attended the IBM Big Data Symposium at the Watson Research Center in Yorktown Heights, N.Y. The event was held in the auditorium where the recent Jeopardy shows featuring the computer called Watson took place and which still features the set used for the show – a fitting environment for IBM to put on another sort of “show” involving fast processing of lots of data. The same technology featured prominently in IBM’s big-data message, and the event was an orchestrated presentation more like a TV show than a news conference. Although it announced very little news at the event, IBM did make one very important statement: The company will not produce its own distribution of Hadoop, the open source distributed computing technology that enables organizations to process very large amounts of data quickly. Instead it will rely on and throw its weight behind the Apache Hadoop project – a stark contrast to EMC’s decision to do exactly that, announced earlier in the week. As an indication of IBM’s approach, Anant Jhingran, vice president and CTO for information management, commented, “We have got to avoid forking. It’s a death knell for emerging capabilities.”
Topics: Big Data, EMC, Analytics, Business Analytics, Business Intelligence, Cloud Computing, Cloudera, Customer & Contact Center, Greenplum, IBM, Information Applications, Information Management, InfoSphere, Location Intelligence, Operational Intelligence, IT Performance Management (ITPM), Strata+Hadoop
There has been a spate of acquisitions in the data warehousing and business analytics market in recent months. In May 2010 SAP announced an agreement to acquire Sybase, primarily for its mobility technology and had already been advancing its efforts with SAP HANA and BI. In July 2010 EMC agreed to acquire data warehouse appliance vendor Greenplum. In September 2010 IBM countered by acquiring Netezza, a competitor of Greenplum. In February 2011 HP announced after giving up on its original focus with HP Neoview and now has acquired analytics vendor Vertica that had been advancing its efforts efficiently. Even Microsoft shipped in 2010 its new release of SQL Server database and appliance efforts. Now, less than one month later, Teradata has announced its intent to acquire Aster Data for analytics and data management. Teradata bought an 11% stake in Aster Data in September, so its purchase of the rest of the company shouldn’t come as a complete surprise. My colleague had raised the question if Aster Data could be the new Teradata but now is part of them.
Topics: Data Warehousing, Microsoft, RDBMS, SAS, Teradata, Analytics, Business Intelligence, Cloud Computing, Data Management, HP, IBM, Information Management, Oracle, IT Performance Management (ITPM)
In the weeks leading up to and as part of its Information On Demand Conference that my colleague assessed, IBM introduced version 8.5 of InfoSphere Information Server and several related product updates. As my colleague suggested earlier, IBM has an ambitious agenda to provide comprehensive information management capabilities through a combination of product development and acquisitions. The breadth of this portfolio is impressive, and InfoSphere Information Server 8.5 makes significant strides in tying the various pieces together.
Topics: Enterprise Data Strategy, Analytics, Business Analytics, Business Intelligence, CIO, Data Integration, IBM, Information Management, Information Technology, IT Performance Management (ITPM)
On October 25, IBM introduced Cognos 10 at its Information on Demand and Business Analytics Forum in Las Vegas that I attended to review the technology closer from my examination at its recent IBM Business Analytics analyst summit in September. According to Rob Ashe, IBM’s general manager of business analytics, Cognos 10 has been developed for over six years. You’re probably aware that in that period IBM made a variety of acquisitions including Cognos itself. These acquisitions and their impact on the new product are clearly in evidence as part of the release.
Topics: Enterprise Data Strategy, Performance Management, Planning, Analytics, Business Analytics, Business Intelligence, CIO, IBM, Information Management, IT Performance Management (ITPM)