In part 1 of a 3 part series, Jim Harris, best-selling author and Green IT expert. and Graeme Noseworthy, Senior Content Marketer at IBM, discuss the ongoing challenges in the energy and utilities surrounding over built supply, As consumers search for more options to go green and get cheaper power
InterGen wanted to analyze large amounts of data in lots of different ways. They went from data analytics via spreadsheet to IBM Cognos TM1 for all of their budgeting and forecasting. Now, Intergen is able to make decisions faster with more effectiveness using IBM Analytics solutions.
Edward Nickolite, IT Manager at DTE Energy, discusses how IBM Maximo Asset Management is helping DTE Energy to transform from preventive maintenance to predictive maintenance. DTE Energy also uses IBM Maximo Asset Management for Transportation to manage their vehicle fleet by integrating telematics
In the data-driven age, the most effective businesses know that success depends on making decisions based on hard facts rather than gut instinct. But how can you be confident that you are taking the right action, if you don’t fully trust the accuracy of the figures on which your decisions are based?
There is no time to waste when working underground. Joy Global is constantly monitoring undergound conditions in order to adjust their course of action. A few minutes can make all the difference. With IBM they are gathering, storing and analyzing data faster with real-time insights in context.
We asked experts from diverse organizations for their unique perspective on major trends in big data and analytics as we head into 2015. Hear their views on the key organizational imperatives, value realization and the key skills needed to support this.
Turn data and analytics into competitive
Clients are achieving competitive advantage through leveraging big data and analytics to drive growth and profitability across their organization. Neil Isford, NA VP of Smarter Solutions, highlights focus areas and key critical success factors for organizations to address when adopting a big data
Seeing is believing. In this short demonstration, you will see the innovations announced in the prior session in action. You will see integration and governance applied to one of the most popular big data use cases: an extended 360 degree view of the customer.
The era of big data is the era of messy data. This is the big data paradox: larger volumes and variety of new sources are inherently complex, and that complexity can actually lower confidence. Organizations have created an entire role to raise confidence in big data: the chief data officer.
Big data has changed the IT landscape. Integration and governance must evolve and become more agile to handle the challenges of big data. IBM's latest innovations in integration and governance deliver context for big data, provide agile governance with automatic protection of big data and ingest
Successful organizations strike a balance between control and speed, moving quickly to explore and analyze big data, but also applying enough controls to avoid missteps with agile integration and governance. Are you confident in the analytic insights that drive your business?