Posts Tagged ‘Business Intelligence’

In a recent blog posting, we provided a guide for standing up and XI52 as an integral component to an enterprise like laboratory environment. This was the beginning several activities, which spawned an idea for a continuing series of articles around IBM SOA appliances, and the use of the The Open Group Architecture Framework (TOGAF) […]

While my interest is always in the convergence of technology like the Internet of Things and healthcare IT, the role of sensors in managing health and wellness is just exploding. “The most popular device functionality in the wearable tech market is heart rate monitoring, with nearly 12 million such devices shipped in 2013. Pedometers and […]

“Power BI is a compelling new offering with advanced collaborative BI capabilities –including mobile cross-platform reporting– to Office 365 SharePoint Online users.    But that’s not all.  Power BI also encompasses new tools in Excel 2013 that support streamlined self-service reporting and analytics.    Find out how you can leverage the hot new self-service BI features coming […]

Yesterday, Perficient and Microsoft teamed up for the webinar, “Building the Better Healthcare Dashboard.” Joseph Paranteau, Principal Platform Solution Specialist at Microsoft, and Martin Sizemore, Healthcare Principal at Perficient, joined together to take a look at the business side of key performance indicators, and show attendees how Microsoft SQL Server 2012 and Sharepoint 2013 deliver […]

Yesterday, we hosted a webinar on Power BI for Office 365: Using SharePoint Online to Deliver Self-Service Business Intelligence. During the well attended session, Andy Tegethoff, Microsoft BI architect at Perficient, first reviewed what Power BI is all about, who is likely to be a user, and the components of it. He then dug deeper […]

According to a recent world study, when it comes to the topic of big data and decision-making for healthcare organizations, a top challenge reported is the ability to analyze data and deliver insights in real time. Unfortunately, many key performance indicators on healthcare dashboards fail to drive real results or are missing key organizational improvement […]

A health insurance client of mine recently embarked on an initiative to truly have “trusted data” in its Enterprise Data Warehouse so that business leaders could make decisions based on accurate data. However, how can one truly know if your data is trustable?? In addition to having solid controls in place (e.g., unique indexes on […]

The NRF’s Big Show is underway and already there’s a lot of information out there to consume and reflect upon. I thought it would be helpful to compile some insights and thoughts around some of the most talked about retail technologies at NRF this year.  Supply Chain and Commerce “The last mile wars are just […]

We know it’s a new year when the NRF Big Show kicks off in January.  Each year we migrate to New York City to see the best and brightest of retail for the next year.  This year is no exception – and like the holiday shopping season just passed, we go looking for the new […]

Information will be the basis for competitive advantage so make it everything you do. A decisive theme conveyed during a number of sessions at NRF for retailers has been the demand for knowledge automation. Ginni Rometty set the tone with a call to arms during the IBM Keynote. Whether it’s uncovering new sources of information […]

IBM Cognos TM1 offers powerful enterprise planning, forecasting, and analysis capabilities. These benefits are best realized by extending the solution across departments for a consolidated, integrated planning process, leveraging business-specific financial models that mirror business strategy. Our years of experience implementing TM1 have shown an increasing demand on support personnel to coordinate data transferring and […]

Our third Retail Tech Trend of 2014 is the continuing endeavor to know everything about everything with analytics and big data. Retail has led the way in leveraging shopper and shopping data for greater customer-centricity, and the combination of staggering growth in available data and maturing of the analytics infrastructure will conspire for even sharper insights. […]