According to the report, IBM brings "advanced analytics tools, a global presence and implementation services" that make BigInsights a "complete big data solution that will be attractive to many customers." Read the report to see why IBM InfoSphere BigInsights was named a leader and how it stands in relation to other big data Hadoop vendors.
Big Data Technology
Big data and analytics technology can reap huge bene-fits to both individuals and organizations—bringing personalized service, detection of fraud and abuse, efficient use of resources and prevention of failure or accident. So why are there questions being raised about the ethics of analytics, and its related technology, big data?
In today's competitive marketplace, executive leaders are racing to convert enterprise insights into meaningful results. Successful leaders are infusing analytics throughout their enterprises to drive smarter decisions, enable faster actions and optimize outcomes. In this exciting new piece of research, the IBM Institute for Business Value surveyed 900 business and IT executives from 70 countries. Through our research, we identified nine levers that together enable organizations to create value from an ever-growing volume of data from a variety of sources – value that results from insights derived and actions taken at every level of the organization.
This white paper outlines the latest customer analytics opportunities and challenges facing sales, marketing, and customer service decision makers. It draws on IDC's research into big data and analytics (BDA) business and technology trends and provides recommendations for organizations looking to improve their customer analytics initiatives. The paper also considers the role of workload-optimized systems as a technology platform to enable customer analytics and describes the IBM PureData System for Analytics as one of the leading workload-optimized systems in the market today.
This is a research report by noted industry analysts Claudia Imhoff, Intelligent Solutions, Inc., and Colin White, BI Research. IT leaders need to review and enhance their information architecture to support requirements fueled by big data, advanced BI and other innovations. Examine the What, the Why, and the How behind these innovations to exploit the potential for improved business efficiency with IBM DB2.
Learn how IBM Business Analytics software supports organizations when accessing big data, interacting with it to discover and visualize patterns and trends, and performing advanced analytics.
The arrival of big data into the enterprise has had a major impact on enterprise information protection as new data stores have emerged, increasing the distribution of data and the complexity of securing and protecting that data along with it. Big data has forced companies to have to define new requirements when it comes to both data management and enterprise information protection. It is now harder to protect sensitive data as it may move around between different transactional and analytical data stores as companies create new analytical workloads. Read this paper by Mike Ferguson of Intelligent Business Strategies to learn how IBM System z can help secure your data.
Cost/Benefit Case for IBM PureData System for Analytics: Comparing Costs and Time to Value with Teradata Data Warehouse Appliance
Three-year costs of ownership for use of PureData System for Analytics N2001 appliances average 36 percent less than for Teradata equivalents. Comparisons are for comparable applications and workloads. This report applies both sets of metrics to cost comparisons for IBM PureData System for Analytics N2001 and Teradata Data Warehouse Appliance 2700 in four representative installations in digital media, financial services, retail and telecommunications companies. Results are based on input from 17 organizations employing Teradata Data Warehouse Appliances and 21 employing IBM PureData System for Analytics appliances in comparable roles.
Big data is already being collected by many government organizations— and new data is being generated at rapidly accelerating rates. The ability to perform analytics on big data enables government organizations to improve existing processes and operations, and engage in entirely new types of analyses that weren’t possible before.