Find Your Mark
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How do I Get Advanced Data Analytics and Insights into my Business?

Insights and Advanced Analytics is the examination of data using sophisticated techniques and tools

Typically beyond those of traditional business intelligence (BI), to discover deeper insights, make predictions, or generate recommendations. Advanced analytic techniques include those such as data/text mining, machine learning, pattern matching, forecasting, visualization, semantic analysis, sentiment analysis, network and cluster analysis, multivariate statistics, graph analysis, simulation, complex event processing, and neural networks. (*Source Gartner)

Know the “Next Best Move”

Strengthen relationships with personalized and timely interactions leveraging AI and machine learning to help sellers exceed the expectations of modern buyers. Leverage Microsoft Cortana Intelligence, Lattice Engines, and Salesforce Einstein to unlock the power of AI.

Elevate Your Conversations

Have the latest customer information at your fingertips to delight your customers. Alert your customers to trends you see in the market.

Data Integrity

Trusted. Verified. Deliver data you trust with the correct format and content. Leverage multi-domain master data management (MMDM) to get a 360 view of your customers. Experience the value of data management in a modern data warehouse with data accelerators that help speed your “time to market” for analytical solutions.

Data Scientists

Data science technology is changing every day. The data always has a new story to tell. IBM Watson can inform you when to call your customers on the East Coast to tell them their shipments will be late due to an evolving storm. Churn models alert you to accounts at risk. Relationship health is known when you walk into a sales call. Prescriptive models plan your sales activities.

  • Technology Survey/Audit – understanding what technologies are in place, their current use, and how to propel optimization.
  • Software Selection – assisting business to understand their must-have requirements, the nice to have requirements, and reviewing off-the-shelf options to determine the best fit. This process moves beyond the flashy software demo into the reality of how the software will work for the business.
  • Build vs. Buy – in many cases buying an already available software solution will work. However, there are times where the business requirements suggest a custom-made software solution is exactly what the business needs, rather than bend both the business and the software to where they “kind of” work.
  • Product Design – working with new business ideas (for startups or existing businesses) to design how the new product will work while establishing the understanding for full development and lifecycle support.

Insights