There is a vast array of predictive analytics tools, but not all are created equal. Software differs widely in terms of capability and usability — not all solutions can address all types of advanced analytics needs. There are different classes of analytics users — some need to build statistical models, others just need to use them.
In this new Guide to Big Data for Finance the goal is to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.
A recently released American Statistical Association (ASA) white paper recommends a multidisciplinary approach comprised of statisticians, mathematicians, data scientists and relevant domain scientists to tackle the challenges of the federal government’s Big Data Research and
Development Initiative and similar private-sector projects.
This article is the third in an editorial series that will review how predictive analytics helps your organization predict with confidence what will happen next so that you can make smarter decisions and improve business outcomes.. It is important to adopt a predictive analytics solution that meets the specific needs of different users and skill sets from beginners, […]
The need for predictive analytics in the enterprise is clear, as it can provide smarter analysis for better decision making, increased market competitiveness, a direct path in taking advantage of market opportunity and threats, a way to reduce uncertainty and manage risk, an approach to proactively plan and act, discovery of meaningful patterns, and the means to anticipate and react to emerging trends.
The Hadoop Buyer’s Guide by Robert D. Schneider, author of Hadoop for Dummies, is an invaluable resource for those investigating or evaluating Hadoop—from understanding how Hadoop can solve your data challenges, to what to look for when selecting a solution, to comparing vendors, and preparing for implementation and future success.
Collibra, named a leader in the recent Forrester Wave on Data Governance Tools, announced its award-winning platform has been further optimized with the launch of advanced platform version 4.3.