Posts Tagged ‘business analytics’

Exponential growth of data is a common trend across all industries, along with the need for insights from that data. We’re seeing a large portion of data growth and complexity from the prevalence of devices, mobile, Internet of Things and cloud. Data management and analysis is no longer a competitive advantage, it’s a business necessity […]

Perficient was a Gold Sponsor of this year’s conference, which brought together experts in asset maintenance related processes, training, tools and machinery. The keynote speaker at the conference was Perficient’s David Reiber. As former owner of General Motors Global Maximo Deployment, David knows a thing or thousand about asset maintenance and reliability. What I found […]

When we talk about Omni-Channel Marketing, we want to integrate marketing automation tools – campaign management, segmentation, etc – with Digital Experience platforms.  IBM has a complete suite of tools in marketing automation, content analytics and digital experience.  In this session at the IBM Digital Experience Conference, Connie Triassi, Angela Caruso and Bryan Daniel talked […]

Pankaj Bose spoke at the IBM Digital Experience 2015 conference about how IBM Cognos, Digital Experience and SPSS can be integrated together for a great Business Intelligence Experience. Typical business challenges include: How to build, run and manage a mobile, cloud and social solution Complexity of great experiences Lack of centralized storage and poor, incompatible […]

Many organizations have adopted solutions with descriptive and diagnostic analytics capabilities that provide static reports and dashboards. However, these reports only provide a snapshot of the existing environment, answering the “What” and “Why” behind historical data. Advanced analytics, the next phase of the analytics adoption lifecycle, deals with uncovering insights from trends and patterns to […]

Perficient is proud to be a sponsor of IBM Vision 2015, the premier business analytics and performance management conference for finance, risk management and sales compensation professionals.  Visit us next week at booth #3 in the EXPO Hall, where you can learn how we’ve leveraged our extensive expertise in business analytics and performance management to […]

This is a continuation of our previous discussion on getting started with Social Network Analysis (SNA). So now that we can do some SNA with NodeXL, how do you now go out and catch the bad guys?  Well, remember, SNA is a network of entities.  So let’s take auto insurance fraud for example and show […]

Earlier this year, we examined how IBM Watson can help healthcare organizations analyze vast quantities of unstructured data to gain quick insights from previously untapped data sources. We found that the content analytics solution, along with IBM’s healthcare tools and accelerators, uncovers valuable intelligence from disparate healthcare data and content, including physician notes, patient surveys, […]

Earlier this week, I read a news article about the use of Twitter, or more accurately, the use of data collected from Twitter to prohibit a passenger from boarding a United Airlines flight. Strangely enough, the person banned from the flight was probably among the people who should know the most about cyber-security and perceived […]

Part 1:  What is Social Network Analysis and how do I get started quickly? I am going to be sharing with you the path that I took to get myself up to speed on Social Network Analysis (SNA) using SPSS Modeler.  If you are new to SNA, or just curious on what SNA is all […]

In a blog post earlier this year, I discussed the increasing role data security is playing in the world today.  As mentioned in the article, 2014 was dubbed the “Year of the Data Breach”.  Around the time of the post, Sony had just been hacked.  Subsequently we learned there was credible evidence the cyber-attack was […]

Advanced analytics has a home in banking and financial services, but it transcends the traditional use of Excel and OLAP to run trend-lines on revenue and cost as they affect the classic Profit and Loss statement.  While macro trends are important to the financial services professional, two more important challenges involve: understanding the customer at […]