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Building a future-ready data architecture

Accenture helped a global collaboration technology company with an architecture that enabled scalable and trusted reporting of business metrics.


Strategy and solution

The team conducted detailed interviews with data owners and gathered intelligence from other stakeholders to establish the true “as is” state of the company’s data management.

By pulling all the data from the data lake and putting it into a new data store, the team were able to radically simplify and streamline the reporting and make the ad hoc analysis far faster.

Choosing Snowflake meant the ability to perform simultaneous data loading and computation, a feature not found in any other data warehouse solution and a significant boost for productivity and efficiency.

The team also developed a set of recommendations for a mature data management model, including data hygiene factors and a data governance board.


Sleek and user-friendly data dashboards

Everyone across the business can now access intuitive and simple-to-use visualizations of key company data instantly.

Deeper insights from drill-down capabilities

The new solution allows users to slice and dice any combination of top-line figures and compare the results by geography, time period, or other parameters.

Daily business insights

The solution’s speed and simplicity is saving hundreds of analyst hours yearly.

Ability to scale metrics at the point of need

Users now have access to simple “drag and drop” functionality for creating new metrics.

Mature data management

With changes to data and metrics tracked by a data governance board, no arbitrary or undocumented modifications are made to complex data queries.

Foundation for intelligent operations

The business has an industrialized data platform for exploring machine learning and automation, opening up possibilities for insights and performance gains.

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