IBM Cognos TM1 on Cloud provides CSOB Insurance with agility unprecedented in the organization, enabling the company to quickly align business priorities with new corporate directives. Business users at CSOB Insurance, who no longer need to wait for IT support, can create plans and model potential
Versatile, easy to use and cost-effective, the spreadsheet has and continues to be an invaluable tool for budgets, forecasts and plans in businesses large and small. But spreadsheets do pose some limitations, particularly with regard to data accuracy. Given today’s highly competitive, rapid pace,
Over the last half-century, perception of the strategic planning process has shifted from corporate panacea to organizational albatross. However, expect a renaissance in strategic planning thanks to new technologies that emphasize three major advantages of having insightful and actionable plans.
IBM Performance Management can fill in the gaps to enhance Excel, letting all your data live happily in one place so that people can easily use Excel to input data, with results instantly reviewable at every level.
Big data projects often involve exploring new business challenges and using new technology alongside existing applications. But who is doing this work? What skills and personalities are needed? Where should management of the big data "team" live, and is the team all in the same department or cross-
You don’t need to wait for the stars to align in order to realize the full value from your investments in analytics initiatives of all sorts.
Instead, what you need to do—and it’s within your power here and now—is to align several key dimensions of your organization’s analytics and data strategies
It turns out, borrowing key concepts from legendary business management gurus can play an important role in developing your big data strategy. Big Data Evangelist James Kobielus shares some of his favorite kernels of wisdom from the experts.
Big data is still relatively new with many organizations, and its significance in business processes and outcome has been changing every day. Here are some of the key best practices that implementation teams need to increase the chances of success.
1. Gather business requirements before gathering
Within a few days of one another, IBM CEO Ginni Rometty shared her 3 Principles of Change at the Council on Foreign Relations, and the Wall Street Journal published a special series on big data and how it is changing the equation for business. This blog post reviews the key thoughts behind both
Progress demands that periodically we commit to infrastructure projects that create the conditions for innovation and delivering value. Mike Kearney draws parallels between the 19th century development of Australia, and its subsequent rewards, to 21st century big data projects.
Most organizations today still treat data as a raw material to be mined, with industrial processes for staged production. Your data isn’t an asset you lock up in a vault and protect long past its relevance. It is a product you combine with others, market and sell, buy and trade, to generate new
Big data can’t prove its business value if it remains in a perpetual proof-of-concept phase. How can you prepare your big-data deployment for delivery into a production IT environment? What exactly does it mean to say that big data, or any IT initiative, is truly production-ready? James Kobielus