In 2016 Unit4 acquired Prevero, a financial performance management software company. The acquisition reflects a trend toward the convergence of transactional and analytical business applications. ERP and financial management software vendors increasingly are adding analytic capabilities – especially in financial performance management (FPM) – to the core functions of transaction processing and accounting in order to broaden the scope of their offerings. The integration of transaction processing and analytical software is especially valuable to Unit4’s core customer base of midsize organizations, which we define as those with 100 to 1,000 employees. Midsize entities have almost the same systems requirements as larger ones but lack the resources the latter enjoy.
Unit4 Prevero Provides a Practical Alternative to Spreadsheets
Topics: Marketing, Office of Finance, Continuous Planning, Analytics, Business Intelligence, Cloud Computing, Collaboration, Workforce Management, Financial Performance Management, FPM, Work and Resource Management, Operations & Supply Chain, Sales Planning and Analytics
Workiva’s Wdesk Supports Expanded ASC 606 Disclosures
Workiva’s Wdesk, a cloud-based productivity application for handling composite documents, will have a larger role to play as companies adopt new revenue recognition standards governing accounting for contracts. The Financial Accounting Standards Board (FASB), which administers Generally Accepted Accounting Principles in the U.S. (US-GAAP), has issued ASC 606 and the International Accounting Standards Board (IASB), which administers International Financial Reporting Standards (IFRS) used in most other countries, has issued IFRS 15. The two are very similar, and both will enforce fundamental changes in accounting for contracts.
Topics: close, closing, XBRL, CFO, Document Management, SEC, 10Q, SEDAR, Composite document
Hortonworks Helps IBM Big Data Potential with Hadoop
Recently Hortonworks announced some significant additions to its products at the DataWorks Summit. These additions reflect the fact that the big data market continues to evolve, as I have previously written.
Topics: Big Data, Machine Learning, Analytics
Our benchmark research into next-generation customer engagement shows the telephone is far from dead as a channel of customer engagement. Although the research shows other channels are likely to grow more quickly over the next two years, nearly half (46%) of organizations said they expect to see significant or some growth in the volume of calls they need to handle. So, as well as supporting additional digital channels of engagement, organizations must ensure the way they handle calls meets customer expectations. Primarily this means that there are no delays, voice quality is good and customers get consistent responses no matter who they engage with.
Topics: Customer Analytics, Customer Engagement, Customer Experience, Customer Service, Contact Center, Omnichannel, Workforce Optimization, Revenue
Centage’s Budget Maestro Version 9 is a Big Step Forward
Centage recently released Budget Maestro Version 9, a complete revamping of its longstanding budgeting application designed for midsize companies. The software, now offered as a multitenant cloud-based offering, delivers several structural improvements that can enhance the effectiveness of a company’s planning processes and at the same time is easier to use. Budget Maestro Version 9 is designed to support what Centage is calling a “Smart Budgets” approach to replace traditional budgeting. This approach is consistent with what we have been calling integrated business planning.
Topics: Planning, Reporting, Budgeting, Consolidation, Analytics, Business Planning, headcount planning
Natural Language Generation Broadens the Reach of Analytics and BI
Natural language generation (NLG), the process of generating text or narratives based on a set of data values, can reach a broader audience. NLG narratives can be used for a variety of purposes, but in this perspective I focus on how NLG can be used to enhance business intelligence (BI) processes. In the case of BI, NLG can be used to explain what has happened and why it is happening, and even what actions to take. The NLG narratives can be understood by a broader range of business users than the tables and charts of data that are the typical output of most BI applications or analytics tools.
Topics: Machine Learning, Natural Language, Analytics, Business Intelligence
