The Journey of a thousand miles towards an ACO begins with one step. Healthcare organizations are coming to realize that the programs stimulated by the ARRA – HITECH Act, Meaningful Use (MU) and Accountable Care Organizations (ACO), require something that they don’t have in sufficient quantities, the desired type or in the right format: “Data”. […]
Posts Tagged ‘Big Data’
Google makes BI push with Cloud Platform Partner Program
One of the more notable announcements in the last month was that of Google’s Cloud Platform Partner Program. The platform currently offers Google Compute Engine, Google App Engine, Google BigQuery, and Google Cloud Storage. The partner program is designed to extend the use of these applications by allowing integration of other Technology Partner applications as well as expanding implementation options […]
Top 10 Trends Shaping Big Data in Financial Services
One of our Business Intelligence colleagues wrote a great post recently on the top ten trends that are shaping the financial services industry’s use of big data. 1. Larger market data sets containing historical data over longer time periods and increased granularity are required to feed predictive models, forecasts and trading impacts throughout the day. […]
Big Data, Big Deal?
If we look back in recent years, the dominating words that represent technical trends are around “Cloud Computing” and “Big Data” in the IT world. More and more firms have planned strategically for big data as it is beyond a pure technical term and is gaining business impact. Per research published by Gartner, big data […]
Banks Use Customer Big Data to Compete
In this competitive banking landscape, organizations face increased pressure to forecast business conditions that allow employees to react and drive value from data. As common sense would dictate, companies should evaluate performance based on increases to firm value. To generate these cash flows, many companies focus on the development of new products and services. However, […]
Financial Services Sees Big Value In Big Data: Top 10 Trends
SunGard has identified ten primary trends that have been shaping the financial services industry’s use of big data in 2012. These trends cover wide-ranging drivers such as predictive analytics, compliance, mobile and globalization. To accompany the list, Neil Palmer and Michael Versace (global research director at IDC Financial Insights) discuss these trends in more detail via webcast. Below is SunGard’s […]
IBM brings the CIO and CMO together
IBM’s CMO-CIO Leadership Exchange recently came to a close. Over 300 IBM customers were invited. IBM says the purpose of the leadership exchange was “to explore how a new computing era is transforming the future of the enterprise.” I recently read a recap of the event on the IDC technology marketing blog that stated the […]
Data Governance and Stewardship Organizations
In my last blog posting, I talked about the need for Data Governance and Data Stewardship to work collaboratively across business units and that organizations should be formed over time to help enable this collaboration. While no two Data Governance programs are identical, below is an example structure which might be adopted, in a phased […]
IBM Big Data – A Future Path to Data Management
Big data is a term being used currently to describe the global and industry challenges with data capture, integrity, quality, analytics, usage, value, etc. IBM has taken the lead in the market with a platform and solutions that help companies manage Big Data and bring value to the organization while managing costs and streamlining operations. […]
Back to the Basics: What is Big Data?
This video published by SAP provides a concise description of Big Data. Timo Elliott (SAP Evangelist) and Adrian Simpson (CTO, SAP UK& Ireland) describe the 4 major challenges that big data is comprised of: Volume – Amount of data Velocity – Frequency of change in data Variety – Both structured and unstructured data Validity – Quality of the data […]
Big Data, New Roles: Data Scientist
Big data has had its fair share of limelight this year. But with the emergence of this new capability, what changes will be left in its wake? One may be a stronger demand for the role of data scientist. If this is your first time hearing this title, don’t be alarmed. As of March 2012 […]
“Schema-less” Big Data
Much has been touted about Big Data being “schema-less,” thus minimizing data modeling, especially Physical Data Modeling. At a low level (e.g., Map Reduce level), there is some truth to this as Map Reduce works with key value pairs. In the Map phase of a Map Reduce job, the input data is read in and […]