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Data Analytics

Consider this the hint of the century

Infinitive provides data analytics services to its clients using experienced people with industry expertise.

Your Challenges

Optimize your data, maximize your future.  Many enterprises look at modern data-driven companies like Amazon or Google and see their own future.  Many companies have undertaken a long-running effort to consolidate data stores, implement automated data update processes (aka pipelines) and now have rationalized data warehouses, lakes, lakehouses, etc.  While this represents real progress, it is only a start on the path to becoming a data-driven organization.  Implementing a comprehensive data analysis effort against the rationalized data is where the real payoff occurs.  This analysis is performed with varying levels of effort and sophistication.  Enterprises are analyzing their data using approaches such as:

  • Implementing data visualization capabilities (Quicksight, Tableau, etc)
  • Using business intelligence platforms (PowerBI, Oracle Analytics Cloud, etc)
  • Applying AI and machine learning to data analysis (Databricks, etc)

Our Solution

Infinitive has deep experience helping companies analyze their data.  We have performed projects to choose and implement data visualization tools, configure business intelligence platforms, and implement AI-based solutions to clients’ data analysis needs

How We've Done It

Infinitive understands that becoming a data-centric enterprise is a process.  We help our clients organize their data so that it can be analyzed, visualize their data, create platforms which allow “citizen data scientists” to perform analyses, and implement sophisticated AI-based analytics.

It all starts with our data transformation methodology.

At the highest level of the data transformation methodology, Infinitive structures the effort into four main phases:

  1. Strategy – review current state, establish a roadmap, and prioritize deployment.
  2. Foundation – establish governance / technology frameworks, launch Proofs of Concept
  3. Operation – build out the infrastructure for modern data management at scale.
  4. Transformation – implement the analytics, AI and ML that drive business benefit.

Each of these major phases is decomposed into a lower-level set of actions.  Each of the lower-level actions is decomposed again into atomic tasks along with clear deliverables to be produced.  The result is a playbook that can be followed allowing for:

  1. Faster project start-up, easier staffing, and assignment of tasks.
  2. Less rework from missed tasks and misunderstood dependencies.
  3. Improved cohesion from one task to the next.
  4. Accurate and early assessment of costs and benefits.
  5. Quicker time to value.

Why Work With Infinitive

Infinitive’s data transformation experts are dedicated to improving your organization’s collection, movement, storage, use and analysis of data. As an AWS Advanced Consulting Partner, Snowflake Partner, and Databricks Partner we help companies develop a strategy for becoming a data driven enterprise.  We also help with the implementation of that data-centric strategy.

Download the Infinitive Data Strategy Methodology – Provide your name, company, corporate e-mail and telephone number and you can download the full methodology for the Data Strategy phase of Infinitive’s Data Transformation Journey.

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