How effective is your organization at leveraging Data & Analytics to reach all your business goals and objectives?

What are you trying to achieve in your organization?

  • Reaching new customers / Increasing revenue
  • Establishing new channels / Offering new products/services
  • Detecting company exposures / Automating contracts
  • Detecting frauds / Knowing your customer
  • Optimizing supply chains / Optimizing Processes
  • Finding best 'recipe' to reduce use of expensive materials / Reducing waste
  • Mitigating risk of non-compliance / Detecting Zero-days
  • ...

Are you using all relevant data to reach these? Do you have what it takes to do all of these efficiently?  If you are struggling or are not able to scale then changes are required! And frankly, you cannot keep pushing addressing these because of other project priorities, others organizations are doing it and it will be very difficult to catch them!

Data & Analytics Consulting Services

We are experts in strategizing, conceiving, enabling, realizing and deploying any Data & Analytics initiatives being Lake Houses, Data Lakes, Operational Analytics, OLAP/BI and Advanced Analytics (ML/DL). In order to do so, we have developed expertise (and methodologies) in architecture, cloud resources, BI, AI, semantic layers and Data Governance over a period of 4 decades!

Our expertise includes capacity planning for both the cloud and on premise. In 2006, we were developing and deploying a VLDB (Very Large DB) for a Telecommunication company using a MPP DB. It was also a fast (near real-time) D&A platform! In 2011, we got our first large Hadoop/Spark project on Cloudera for a Media Company. And we never stop evolving this D&A platform to deal with all data (big or small, structured, semi or not) fed from business applications and/or sensors, IoT and PlC.

We consider ourselves experts in Lake House having built those 3 years before the name/concept were coined. We are pioneers in the 'real-time Lake House' which requires ALL data to flow to the Lake House to provide much better business context to the IoT/PlC and sensors data in order to support new Use Cases.

So, our senior consultants are typically (most can do multiple roles):

  • Data Strategist
  • Enterprise Data Architect
  • Data Governance Specialist
  • Senior Business Analyst
  • Program/Project Manager
  • Data Engineering Specifications Specialist

In terms of deliverables:

  • D&A Roadmap
  • AI Use Cases and Business Cases
  • Business Requirements Document (BRD) or Agile deliverables (Epic, Stories, ...)
  • Data Governance Framework, RACI, processes
  • CEDM
  • DEDM
  • Data Services for pull/push
  • D&A platform architecture (solution architecture)
  • Data Engineering Specifications
  • Test Cases
  • Wireframes
  • Project/Program plan

We typically use contractors for the development itself (data engineering) and for the data scientists but we handle all the rest including orchestrating entire programs.

There is much more to discuss here from Data Architecture, Governance, Data Engineering, tooling, AI workbench, AI deployment in real-time, acquisition of data and more please click here (coming soon) to have a in-depth description of our modern real-time Lake House.