Big Data / Analytics
As the market for intelligent applications and the software platforms used to build them has emerged over the last few years, there has been a lot of nomenclature confusion. What should we call these applications and what should we call the platforms, libraries and software tools used to build them?
The terminology matters. It should matter for vendors looking to differentiate their products from the business intelligence and predictive analytics software that has existing for decades. 'Intelligent applications' and 'business intelligence' software provide two very different sets of functionality. It should also matter to technology buyers, who need to explain and justify new solutions to those holding budget.
We could use the name of the types of algorithms to describe the platforms;…
......Given that we do not yet have a separate community for Digital Strategy-related topics, I thought that the Analytics and Big Data community would be good place to post this one. Here's the premise - Analytics and big data lead to better business insights around customers, operations, and products and services. Insights in turn define and defend corporate strategies in the digital era, and well executed strategies lead effective digital transformation. See if you agree.
Over the past twelve to eighteen months the business consulting industry has introduced a new lineup of digital services positioned to help clients accelerate successful digital risk taking and maximize value of digital enterprise strategies. New digital offerings from the largest, multi-national and technology-focused business consulting firms have come to market through acquisitions of smaller digital-led firms, by re-orientating traditional strategy, consulting, and tech/ops engagement…
Informatica announced an agreement on April 7 2015, to be acquired by Permira Funds partnered with Canada Pension Plan Investment Board. This article provides some of the details and speculates on why we are seeing a trend of public technology companies going private.
Data, whether big or little, is a hot topic that goes beyond the bits and bytes that make it up. Data is at the core of business operations, strategic planning, execution and outcome. Getting data from the bits and bytes to the business level requires functionality to profile, cleanse, integrate, secure and analyze relationships in and through it. Informatica, one of the leading pure play data management software vendors able to deliver these types of solutions, has agreed to cleanse,…
I recently completed an IDC MarketScape on Decision Management Software Platforms. This research project gave me the opportunity to speak to several vendors in the market including, FICO, IBM, Oracle, SAS and TIBCO, several of their customers who adopted the solutions, and put the findings in the context of the decision management research I have been doing for many years. Until this platform market emerged a few years ago, customers cobbled together rules engines, advanced analytic tools, interfaces and alerting capabilities to develop decision management solutions. These solutions used rules to enforce resource constraints or maintain compliance with external regulations and internal policies while applying predictive analytic models to generate optimal decision choices. These decision options could be automated if an event met acceptable confidence thresholds or served to front-line employees who could then take action based on recommendations.
The rise of Internet connected devices presents opportunities to harvest the data and leverage it for new types of intelligent applications and services. This post reviews some of the factors impacting demand and supply of a new wave of analytic applications.
Predictive Maintenance Applications and Services
In a recent visit to Mexico City for an IDC Big Data and Analytics conference , I spoke to a CIO from a large mining company. The maintenance of the equipment used in mining operations is a high value process. Unless the drilling equipment is functioning, mining operations stop. Given the distributed, remote sites where the mining is conducted, an unplanned failure of operational equipment can take days to repair, and can lead to millions…
A newly published IDC multiclient study discusses the best practices and strategies to unlock the hidden value of information. Research from IDC shows that unstructured content accounts for 90% of all digital information. This content is locked in a variety of formats, locations, and applications made up of separate repositories. When connected and used properly, such information typically can help increase revenue, reduce costs, respond to customer needs more quickly and accurately, or bring products to market faster.
A major pharmaceutical manufacturer generated millions of dollars in new revenue by combining new research with previous research and drug studies. A global investment bank is generating significant new revenue, in part, thanks to a new knowledge management system, collecting, locating, sharing, synthesizing, and analyzing information across the globe about financial and investment topics collected from a wide variety of sources. These are just two examples from organizations I and my IDC…
Twitter's purchase of Bluefin Labs in 2013 and Gnip, Secondsync and Mesagraph in 2014 show that the Twitter wants to move beyond just advertising into the the world of social media data and analytics, especially for media, consumer companies and enterprises. The combination of analytics technology from Bluefin with the data APIs of Gnip make for a powerful combination and put pressure on companies like DataSift, FirstRain and other social media data and analytics companies.
On April 15th, Twitter announced that it was acquiring its longtime data partner Gnip for an undisclosed sum. Gnip is a leading provider of social media data, including Twitter data. Gnip has been a leader in the social media data market for a number of years, competing with the likes of DataSift, Topsy (acquired by Apple) and others. Companies like Twitter and Facebook have also offered this kind of information, but their social media data has traditionally been limited to one platform…
Prediction for 2014: Memory Optimized ("In-Memory") Database Technology Is Taking Over Enterprise Databases
Some are saying that the chip cache is the new RAM, and RAM is the new disk. In the DBMS world, this means that disk-optimized DBMSs (those that optimize their operations around the management of data on disk storage) are giving way to memory-optimized DBMSs (those that optimize operations around the management of data in memory, using disk for overflow and recovery purposes). A number of startups have unveiled exciting new technology along these lines. It's not just the startups that are having all the fun; leading DBMS vendors such as Oracle, IBM, SAP, and Teradata have also introduced DBMS technology that is either partially or entirely memory-optimized. This technology is sure to go mainstream in many enterprise data centers by the end of 2014.
Memory optimized database technology is that in which the internal operations of a database management system are optimized for the management and manipulation of data in memory, as opposed to optimization of data management on disk. This technology is commonly called "in-memory database (or IMDB)", but this term is somewhat misleading since it implies that the entire database must be in memory all the time, and this is not the case with most of the offerings in this space, nor should it be…
$3 billion is the amount of venture capital (VC) funding that has flowed into information management, access, and analysis software vendors since the beginning of the slow economic recovery in 2009 and through August of 2013. Does this level of VC funding denote irrational exuberance or a wave of unprecedented innovation?
The answer, of course, is that these don't have to be mutually exclusive outcomes. On the one hand most of the information management, access, and analysis software vendors that have received VC funding over this time period have positioned their software to address requirements of Big Data use cases.
Big Data is a multi-billion dollar opportunity for software but also hardware infrastructure and services vendors. IDC estimates the Big Data technology and services market to be a $11 billion…
Google recently discussed a number of search enhancements that they have made to Google Web Search for desktop and mobile users. A number of these capabilities are finding their way into a new wave of enterprise search applications known as Unified Information Access (UIA) platforms. IDC is predicting that many of these UIA platforms will replace traditional search systems at most organizations over the next several years.
Amit Singhal, Google's senior vice president of search, recently spoke to reporters about the company's latest search project, known as "Hummingbird". "Hummingbird" is Google's latest search algorithm that improves contextual awareness of search, taking elements from Google's Knowledge Graph and Google Now. Hummingbird uses Google's Knowledge Graph to help expand query terms into their related concepts rather than simply matching keywords in documents. Google's Knowledge Graph uses the…
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Welcome to the Business Analytics blog where business and IT professionals engage in ongoing discussions on best practices, emerging market trends, and latest market developments in business analytics, including data warehousing, advanced analytics, query, reporting, and analytic applications.
- OfflineHolly Muscolino
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