It’s time for the enterprise to seize the opportunity to build new applications and processes based on a synthesis of meaningful data brought together from diverse systems. Doing so requires some key things, though, starting with a database platform that supports seamlessly integrating the data and ensuring that it is understandable at the conceptual level. […]
Medicare Has Saved $1.5B with the Help of Predictive Analytics
by Angela Guess Dr. Shantanu Agrawal, Raymond Wedgeworth, and Kelly D. Bowman recently wrote in Modern Healthcare, “Over the past five years, the CMS [Centers for Medicare & Medicaid Services] has successfully implemented a Fraud Prevention System using ‘big data’ and predictive analytics approaches to fight fraud, waste and abuse in the Medicare fee-for-service program. […]
Will Legal Hassles Lead to Companies Retaining Less Big Data?
by Angela Guess George Leopold recently wrote in Datanami, “At least part of the technological and political blowback from the recent legal battle between the FBI and Apple over government access to encrypted data is a shift among some Silicon Valley startups away from retaining large amounts of customer and other data. The decision reportedly […]
New Jobs Analysis with Python
Click here to learn more about author Steve Miller. The presidential race is heating up as primaries come to an end. And if it’s Trump vs Clinton, there’ll be no shortage of strong opinion among the electorate as to which offers the best policies for economics, defense, energy, health care, etc. Last year I posted […]
Opening Up Access to Big Data for Medical Insights
by Angela Guess Adam Lorant recently wrote in Datanami, “Modern data science can unlock new innovation in healthcare, bioinformatics, genetic research, and other related fields. New personalized medicine programs, for instance, can identify previously unrecognized disease risk factors by applying analytics to vast amounts of genomic and clinical data. Hospitals can pore through EMR and […]
Intelligent Crowdsourcing: A Big Data Solution
IDG (International Data Group) predicts the use of unstructured Big Data will steadily grow at a rate of 62 percent annually. They also predict by the year 2022, 93 percent of all data being processed will be unstructured. The issue of processing unstructured Big Data is currently one of the most challenging problems facing Data […]
The Rise of the Digital Economy and, Necessarily, NoSQL
by Angela Guess Luke Whitehead recently wrote in ITProPortal, “Today’s web, mobile, and IoT applications share one or more (if not all) of the following characteristics. They need to: (1) Support large numbers of concurrent users (tens of thousands, perhaps millions); (2) Deliver highly responsive experiences to a globally distributed base of users, (3) Be […]
Improving Big Data Management with a Converged Architecture
by Angela Guess Dan Woods recently wrote in Forbes, “‘You can’t handle the truth.’ We all remember Jack Nicholson’s iconic words in A Few Good Men as a seminal moment in pop culture. Yet, that statement has a lot of relevance for companies and their data architecture. When they look at their architecture, businesses should […]
Tips for Making the Most of Big Data at a Small Business
by Angela Guess Pratik Dholakiya writes in SmallBizTrends, “Big data and business intelligence (BI) used to be only for enterprise companies. Now, however, thanks to the software as a service (SaaS) revolution, even small businesses can afford to track and tap into a wealth of information. However, becoming a data-driven small business isn’t easy. Because […]
Data Governance: Making Big Data Manageable
Click to learn more about author Avi Kalderon. Some businesses are swimming through their “lake” of big data. Some feel like they are drowning. The difference, often, is the ability to actively adapt data governance and data management capabilities right from the start. Here are five ways data governance can make big data manageable and empower […]