Competing on Analytics: The New Science of Winning. You have more information at hand about your business environment than ever before.
But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool. In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Ideas on business, insight and analytics.
Bigdataq.com. Worldwide Business Analytics Software Market Continues Stellar Recovery Driven By Big Data Hype and Accelerated R&D Efforts, New IDC Forecast Shows. FRAMINGHAM, Mass.
--(BUSINESS WIRE)--In 2011 the business analytics market extended its post-2009 recovery with another stellar performance by growing worldwide revenues 14.1% year over year. International Data Corporation (IDC) forecasts that it will continue to grow at a 9.8% compound annual growth rate (CAGR) through 2016 to reach $50.7 billion. Prepared Minds. Article of the WeekHow is big data faring in the enterprise?
(ZD Net) Big Idea: With the hype sometimes seeming to reach a fever pitch, Hinchcliffe takes a look at how enterprises are really using big data along with the overall maturity of the new industry itself. Darkhorse Analytics Blog. The chasm between Business and IT is well documented and has existed since the first punch-card mainframe dimmed the lights of MIT to solve the ballistic trajectory of WWII munitions.
Since that time, great leaps in data collection, storage, connectivity, and processing power have made IT infrastructure ubiquitous. You’re not even in the game if you don’t have an IT group. But the productivity gains have not kept pace with the investments. The newest hype-driver, analytics, claims that it will finally deliver the goods. Analytics for Big Data – Venturing with the Twitter Use Case. Performing analytics on Big Data is a hot topic these days.
Many organizations realized that they can gain valuable insight from the data that flows through their systems, both in real time and in researching historical data. Imagine what Google, Facebook or Twitter can learn from the data that flows through their systems. And indeed the boom of real time analytics is here: Google Analytics, Facebook Social Analytics, Twitter paid tweet analytics and many others, including start-ups that specialize in real time analytics. But the challenge of analyzing such huge volumes of data is enormous. Mining Terabytes and Petabytes of data is no simple task, one that traditional databases cannot meet, which drove the invention of new NoSQL database technologies such as Hadoop, Cassandra and MongoDB.
Bill Franks — IIA. Unlocking Value in the Fragmented World of Big Data Analytics (POV ... 'Big Data' To Drive Investments In Analytics For APAC CIOs. The ‘Big Data’ phenomenon seems to have appeared from almost nowhere, but in reality, some aspects of this emerging trend are not new.
We have known about the exponential growth of data volumes for some time and according to a recent IDC Digital Universe study published in June 2011, the amount of information created and replicated will surpass 1.9 zettabytes (1.8 trillion gigabytes) in 2011, growing by almost nine times in just five years. Other aspects of ‘Big Data’ are indeed new. The variety of the data sources is growing at a rapid rate, particularly as we move into the semi-structured and unstructured realm (e.g. social media interactions, rich media files and geospatial information). The other emerging factor that organisations need to contend with is the increased velocity at which data is being generated (e.g. real-time sensor data feeds from smart meters).
Figure 1. AnalyticsIndia.com. Analytics Zone. IBM’s Big Data Analytics Splash. Analytics Blog. Accenture Analytics blog about news, opinion, research and events in Analytics. From strategy to execution, Accenture works with businesses, government agencies and other public service organizations to develop the predictive capabilities needed to outperform in these fast-changing times.
It really is all about the customer High performers’ business objectives are very different from those of others. While most organizations continue to be internally focused on cost, productivity, and processes, high performers’ foremost objectives are related to improving the customer’s experience. Business Analytics. Most of the decisions till recently were based on expert judgment, rule of thumb or in some cases intuition.
There has been an increasing focus on supporting business decisions based on data. We, at Happiest Minds, believe that the art of analytics goes far beyond just statistics and has to be tightly integrated with business understanding and smarter integration. We have a large pool of competent and highly skilled associates across levels – Domain Consultants, Statisticians, Research Associates, Business Analysts, Program Managers and Architects – to deliver effective solutions for the ever changing market. We offer advanced and cost effective analytics solutions and provide actionable insights that assist our clients in the decision support systems. Happiest Minds specializes in providing high value, insightful research and analyst support services for Global Corporations, Financial Institutions and Management Consulting firms at a fraction of the cost of local equivalents.
Predictive Analytics Center of Excellence (PACE) Analytics - Search Results. EMC Data Science and Big Data Analytics Self-paced Course. Helps reduce operating costs by GBP 1.3 Million by building an advanced middle office Center of Excellence for a leading global insurance player. A leading multi-line insurance provider working across life, general and health verticals – was looking for innovative solutions to adapt to the dynamic operational landscape.
The focus was on combining high levels of operational expertise, tight financial discipline and technological excellence to deliver stronger balance sheets. To achieve these objectives, the client sought to improve its MIS functions to deliver consistent profitable growth. Its goal was to set up a Center of Excellence (CoE) that would harness the power of predictive analytics and help the company draw better insights into business operations. The CoE would enable the client to achieve better returns on people investments, improve operational effectiveness and lower costs, leading directly to superior products, better claims and underwriting management. Business Strategy, Intelligence & Transformation Solutions for Small - Medium Businesses. Business Intelligence (BI) is the ability for an organization to gather, store, analyze, and provide access to data.
This produces large amounts of information which can lead to the development of new opportunities for the organization. When these opportunities have been identified and a strategy has been effectively implemented, they can provide an organization with a competitive advantage in the market, and stability in the long run (within its industry). Analytics Solutions. Big Data Training - Hive Hadoop tutorials. Deep analytical talent: Where are they now? The Biggest Mistakes in Buying Business Intelligence Solutions. By Sanjay SrivastavaUpdated: May 15, 2012 Many companies make a very basic mistakes when they set out to buy Business Intelligence solutions.
They proceed under the assumption that they are out to buy software. The truth is that they are purchasing an aid to strategic decision making. MAIA Intelligence Blog » High Performance Analytics – 2. Analytics. Retailers and marketers often face the challenge of getting coupons, offers and promotions delivered at the perfect time and in the right context to their customers.
The rapid advances in cyber foraging, contextual computing and cloud computing platforms are succeeding at revolutionizing this aspect of the retail shopping experience.