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DATA MANAGEMENT

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November 23 2019

A. Data Architecture, ETL, and Warehousing
The first challenge is always that data exists in silos, gathering data from different sources and systems and organizing them in one place is the first step. We help clients manage the process of choosing the right technologies, configuring them and optimizing the performance for their environments. We optimize the architecture for analytics so it would be a powerful tool for business insights.

B. Data Quality Management
Some clients will already existing databases, but their numbers don’t tell the same story; some data is corrupt, some needs a lot of deep dives to understand, and some just doesn’t make sense. The main reason for that is always the lack of Data Quality Management process. We identify process gaps, recommend and implement go- forward solutions, as well as design and implement one-off fixes for current data quality challenges.

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We believe getting the right added value from data requires a lot of collaboration to bring together the proper understanding of the business and how the data practice can help out with bringing them to be a data-driven organization,

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Smplcty is an analytics consulting startup bringing the best-in-class analytics practices, enabling clients to become data-driven through harnessing the value of their data and bringing out actionable insights that can increase their profitability and drive efficiency.

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