In our benchmark research at least half of participants that use spreadsheets to support a business process routinely say that these tools make it difficult for them to do their job. Yet spreadsheets continue to dominate in a range of business functions and processes. For example, our recent next-generation business planning research finds that this is the most common software used for performing 11 of the most common types of planning. At the heart of the problem is a disconnect between what spreadsheets were originally designed to do and how they are actually used today in corporations. Desktop spreadsheets were intended to be a personal productivity tool used, for example, for prototyping models, creating ad hoc reports and performing one-off analyses using simple models and storing small amounts of data. They were not built for collaborative, repetitive enterprise-wide tasks, and this is the root cause of most of the issues that organizations encounter when they use them in such business processes.
Topics: Analytics, application, benchmark, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, closing, Customer Performance, dashboard, Data, enterprise spreadsheet, ERP, Excel, Financial Performance, Financial Performance Management, Forecast, GRC, Information Management, Operational Performance, Planning, Reporting, Risk, Sales Performance, Office of Finance
The challenge with discussing big data analytics is in cutting through the ambiguity that surrounds the term. People often focus on the 3 Vs of big data – volume, variety and velocity – which provides a good lens for big data technology, but only gets us part of the way to understanding big data analytics, and provides even less guidance on how to take advantage of big data analytics to unlock business value.
Topics: Analytics, Big Data, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, designed data, Excel, Financial Performance, Governance, Risk & Compliance (GRC), IBM, Information Applications, Location Intelligence, Microsoft, Operational Intelligence, Operational Performance, Oracle, SAP, SAS, SPSS