Category: business analytics

How “Able” Is Your ETL Process? Modernizing Data Prep, Part 1

For all the exciting discovery that data analytics enables, data preparation involves, for most users, an equal amount of drudgery. That’s true for a number of reasons, first and foremost being that enterprise data is rarely structured for analytic use; it’s often designed for transactional system performance or to minimize storage. Wrangling in data that’s spread across different locations and technologies (database, cube, cloud-based, on-premises, flat files, etc.), and then cleaning up “dirty” (incorrect, improperly encoded, duplicated or blank) data is a time-consuming and labor-intensive task, constantly repeated as data sources come and go.

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Analytics Success Starts With Value-Based Design

[This is the first in a series of blogs on the Birst Value-Based Design (VBD) process. This installment focuses on identifying the top metrics for any analytics deployment, and future blogs will cover other aspects of the VBD process.]

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