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Analytics Accelerator

Generate analytic value quickly with best-in-class data engineering.

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Answer business questions quickly and accurately

Business Case for Analytics

Build the business case for analytics

Begin to understand the value buried within your data through a concentrated effort to answer a handful of pressing business questions. Use real results to justify a larger investment in analytics.

Data Engineering Gaps

Fill the data engineering gaps

The majority of analytic projects are consumed by data prep. We provide the data engineering resources and toolkits required to quickly move from organizing to analyzing your data.

Analytic Muscle

Iteratively build analytic muscle

Boil the ocean approaches are often expensive disappointments. Our sprint-based methodology enables you to gradually uncover and address gaps, allowing you to steadily scale your analytics efforts.

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How it Works

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Question

Identify high-value business questions that can be answered with analytics

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Organize Data

Collect required data sources and unify for analysis

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Analyze & Answer

Analyze to provides answers and guide further exploration

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Retrospective

Analyze the process to assess gaps and improve velocity

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Iterate

Refine and move to more complex questions

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Identify high-value business questions

A high-impact analytic exercise starts with understanding the questions that are worth answering. Then collaborating to narrrow down the list to prioritize and execute on questions that will help propel your business and analytic aspirations to the next level.

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Organize the required data

First, relevant input sources and attributes are analyzed to determine the source owners to engage. Then we apply best-of-breed tooling to unify the data and make it easily usable for downstream analysis. During this process, we identify gaps that can hinder the scaling of future data engineering and analytics efforts.

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Analyze & answer the question

Now that the data has been unified, it can be analyzed to begin answering the question raised at the beginning of the sprint. We provide an initial set of analytics to facilitate the discussion but rely on you to challenge the outcomes and provide context that lives outside of the data. The goal is to answer the question and begin defining business actions, or agree on a set of questions to answer more deeply.

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Review and learn from outcomes

Our goal is to enable you to scale up your DataOps and analytics capabilities. We allocate dedicated time at the end of each sprint to review successes and failures, with an emphasis on the bottlenecks that are hindering analytic velocity. This includes assessing the technology & people gaps that exist throughout your analytic process and helping you define an ideal architecture.

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Getting DataOps Right

Explore an organizational approach to implementing DataOps in your company.

12 Steps to a Successful Analytics-Driven Org

Learn the steps your organization should take to get the most out of analytic efforts.

5 Key Principles of a DataOps Ecosystem

Explore the benefits of embracing an open and best-of-breed appraoch to your DataOps ecosystem.
Ready to learn more?
Connect with an expert who can answer your questions.
Schedule a Demo