ADP recently held its annual analyst day in the company’s new innovation center in the Chelsea district of Manhattan. The location emphasized what ADP wanted to get across to the analyst community at the event: that it intends to become a significant vendor of human capital management (HCM) software based in the cloud. ADP hopes to broaden its business from being largely an outsourcing vendor of payroll and related services (such as for auto dealers) to one that provides software for a range of HCM activities.
Topics: Big Data, Mobile, Social Media, HCM, Human Capital Management, human resources, payroll, Predictive, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud, Cloud Computing, Mobility, Workforce Performance, ACA, ADP, Affordable Care Act, compliance, HR, HRMS, BI, Benchmarking, Healthcare Compliance
At Saba’s recent global customer conference executives discussed the company’s latest product enhancements, progress made during the past year and plans for the future. Saba provides a talent management suite that includes all capabilities except compensation management and is a leading vendor of corporate learning management systems. The majority of its 2,200 customers and 31 million users in 195 countries use the learning system, Learning@Work.
Topics: Big Data, Mobile, Social Media, HCM, Human Capital Management, Predictive, Recruiting, Learning Management, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Collaboration, Saba, Talent Management
In our benchmark research in predictive analytics we’ve uncovered some intriguing tools for taking advantage of big data in the enterprise. Revolution Analytics, which we analyzed earlier this year, this month introduced its 6.0 release. Revolution extends the open source statistical programming language R with capabilities you would expect out of enterprise software. The company has grown substantially over the last several years and has an impressive list of more than a hundred customers in both the private and public sectors. Revolution partners with database and data integration providers such as Talend and Informatica and business intelligence providers who want to connect to more advanced level of analytics. Revolution can operate across a range of big data architectures, including Hadoop, working with Cloudera and IBM as well as data warehouse appliances such as IBM Netezza and Teradata. This is a smart move, since predictive analytics is the second most important unavailable capability cited by big data deployments in to our benchmark research.
At first I thought 1010data just developed a faster data warehouse technology to be used with business intelligence tools. After a recent briefing, however, I learned that it provides much more than a data warehouse; the product is a large-scale analytics server that empowers business analysts to work on big data, conducting for, example, market basket analysis or correlations of customer and product information. The software lets organizations retain and analyze more data and increase the speed of analysis, which our benchmark research on big data found to be the top two benefits of the technology for more than 70 percent of organizations.
Topics: Big Data, Data Warehouse, Sales Performance, 1010data, Predictive, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Management