Using information from applications and services across both the enterprise and Internet just got simpler with Kapow Software and the announced release of Kapow Enterprise 9.2. I examined the technology at the Kapow WoW user conference, and spoke with a broad range of companies that use Kapow.
Topics: Big Data, Application Assembly, Kapplets, Operational Performance Management (OPM), Business Analytics, Big Data Integration, Business Intelligence (BI), Business Performance Management (BPM), Customer Performance Management (CPM), Information Applications (IA), Information Management (IM), Information Optimization, Kapow, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM)
I recently attended the annual SAS analyst summit to hear the latest company, product and customer growth news from the multi-billion-dollar analytics software provider. This global giant continues to grow its business and solutions to help with fraud prevention, marketing and risk. It lets users apply its analytic and statistical technology in practical applications for business. SAS can meet midsized businesses’ demand with packaging and pricing to ensure it is not seen as only affordable to Global 2000 companies. SAS’ growth in analytics should be no surprise, as our research finds analytics to be the first-ranked priority among technologies for innovating business.
Topics: Big Data, Predictive Analytics, SAS, Fraud, GRC, Operational Performance Management (OPM), Analytics, Business Analytics, Business Intelligence, CIO, Cloud Computing, Data Integration, Governance, Risk & Compliance (GRC), Information Management, Operational Intelligence, Big Data Integration, Business Intelligence (BI), Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Risk, Sales Performance Management (SPM)
Big data involves interplay between different data management approaches and business intelligence and operational systems, which makes it imperative that all sources of business data be integrated efficiently and that organizations be able to easily adapt to new data types and sources. Our recent big data benchmark research confirmed that big data storagetechnologies continue to follow many approaches, including appliances, Hadoop, and in-memory and specialized DBMSes. With the variety, velocity and volume of big data being part of today’s information architecture, and the potential for big data to be a source to feed other systems, integration should be a top priority.
Topics: Big Data, Data Quality, Master Data Management, Business Analytics, Cloud Computing, Data Integration, Information Management, Operational Intelligence, Big Data Integration, Information Applications (IA), Information Management (IM)