Data Strategy

As our leadership team shows, information is our business.  All of our principals are experts in the business use of information technology, each with over twenty years of design, deployment and management experience.  Our team is deeply technical; understanding the tools is critical to understanding their application.  But, we recognize that the effective use of information technology begins and ends with people, not the technology.

Mainframe, Client-Server, Internet, Social Media, Artificial Intelligence and Cryptography, our team of experts has experience in leveraging each succeeding generation of data technology.  From this, we understand the challenges of putting innovation to work in business while managing the disruption and uncertainty that new technology always brings.

Our (DS) Solution Areas include:

Big Data

In the last few years Big Data has evolved from a marketing term to a critical business enabler.  Analyzing new data in new ways, in massive volumes, is no longer a differentiator. Now, you must be in the analytics game simply to keep up.  Customers now expect instant gratification of their every need, instantaneously, and at minimal cost no matter where they are.  If you get this right, you keep them engaged.  If you get this wrong, you’ll lose them forever.

Our Big Data solutions guide our clients in how to put Big Data to actual use with actual customers in actual use cases. We also help clients understand, prepare for and leverage the organizational implications of this new mode of operating, which requires an entirely new organizational metabolism.

1. Unstructured Analytics

While much of the focus of the Big Data industry has been on massive sets of structured data some of the most valuable innovations may be found in the analysis of unstructured data.  Unstructured data, such as email, text messages, audio and video, are growing at far greater rates than structured data.  And, because unstructured data has historically been very difficult for machines to understand, this data has largely been ignored in analysis.  Until now.

Recent advances in unstructured data analytics means that organizations can finally start analyzing and understanding this previously untapped resource. By combining traditional structured data sources such as Enterprise Resource Planning (ERP), Customer Relationship Management (CRM) and Supply Chain Management (SCM) with unstructured sources such as email, social media and context information, organizations can gain a completely new understanding of their customers, employees, and business

2. Predictive Analytics

Big Data analytics has quickly moved from understanding the past and the present to predicting the future.  Companies at the leading edge of predictive analytics give their customers what they want or need before they even ask, creating that expectation in all aspects of their lives.

In our predictive analytics solutions we assist clients in understanding the technical underpinnings of these platforms, as well as their operational implications. Meeting customer expectations predictably requires an entirely different operational mindset, entirely different metrics, and entirely different processes.  We guide organizations in making this transition from responsive to predictive as quickly as possible.

3. Machine Learning

Machine learning is not new.  Much of the mathematics that are being applied to today’s machine learning or artificial intelligence (AI) initiatives were developed decades ago, and their operation and application are well understood.  What has changed the machine learning game is the relentless increase in computer processing power and the explosion in data produced by our society.

Now we can feed our advanced analytic models with quadrillions of rows of data about any topic and generate new insights from the results in hours or minutes. We can model these results in real time, feed the results back into the model and grow progressively smarter at breakneck speeds.  Organizations that apply this technology correctly, quickly, and reorient their operations towards machine-enhanced decision making may develop an unrecoverable lead over their competitors. Our solutions help our clients be one of the former, rather than the latter.

4. Barter & Sharing Economy

From access aggregators such as Uber and Airbnb to next generation sharing and bartering platforms, the world of electronic commerce is experiencing explosive growth and diversification.  But, better access to underutilized capital is just the beginning. Up next will be true peer-to-peer sharing exchanges, which in turn will develop into peer-to-peer barter exchanges.

Billions of people have access to mobile phones, yet have no bank account. And fully one third of the world’s economic growth over the coming decade is predicted to be in barter, rather than the formal, monetary economy. As companies struggle to find continued earnings growth in their traditional business, they will increasingly need to tap into this new economy to generate enhanced profits. Our solutions help organizations address the technical, operational and regulatory complexities of bridging these two worlds.

Our specializations serve the following industries:

  • Consumer goods
  • Life sciences
  • Financial services
  • Insurance
  • Manufacturing
  • Automotive
  • Retail
  • Healthcare
  • Legal services
  • Law enforcement
  • Federal, state, and local government
  • Travel and leisure
  • High technology
  • Logistics and transportation