Analytics Essentials -

Analytics Essentials

It all rests on the foundation

The integrity of any structure is only as good as the foundation it sits on. That’s especially true for data architecture. A well-built data foundation is the key to the automation, scale and ready access to data.

Designing and building agile, performant BI is the work we love. It’s a dance between business understanding and technical astuteness that starts with our Analytics Essentials. These form the vital first steps in the Senturus project methodology.

Senturus Project Methodology

The Essentials save time and money

The Analytics Essentials of scoping, planning and defining allow us to align your business priorities with the best architecture to support them. During the process, we often uncover key opportunities – even in those organizations who believe they have fully defined their requirements.

Our goal: deliver a solution that provides the highest ROI with the least total cost of ownership. 

  • Ensures an architectural foundation to support short- and long-term needs
  • Delivers quick wins and agile development
  • Prioritizes business value and ROI
  • Ensures business requirements are fully identified and met; avoids re-development and manual workarounds
  • Manages total cost of ownership
  • Delivers a working prototype that facilitates better design for the main project
  • Allows for detailed project planning and scoping
HOW IT WORKS

Every organization is different. Our Analytics Essentials reflect that. Take advantage of any or all of these modules as they make sense for your organization. 

A modular approach

Interview key stakeholders to assess how business function and data use intersect. Identify gaps.

Identify architectural alternatives and corresponding pros and cons.

Prioritize near-term, mid-term and long-term projects.

Develop a high-level matrix of common dimensions that can be used by all business processes.

Deliver a viable dashboard with a subset of data to demonstrate technology components and business value.

Itemize gaps (e.g. data quality, technology, accessibility, skillsets, culture, governance) in current BI environment.

Provide a detailed breakdown of all tasks related to the first phase.

Map out a phased strategy designed to meet your needs today and over time.

Get started on building a foundation for data democratization in your organization.

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