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Elevating Insurance
Analytics:
A Looker and GCP
Success Story
Sparity
Sparity
Client is a leading insurance provider, having a
vast amount of policy and insurance data
stored in their existing data lake. They sought
Sparity’s expertise to improve data quality,
streamline reporting processes, and migrate
existing reports to more efficient platforms.
Sparity
KeyChallenges
Need for standardization of data in their data
lake to facilitate efficient analysis and
reporting across multiple dashboards.
Implementing ETL measures for all the key
performance indicators (KPIs) to ensure
accurate and consistent reporting.
Recreation of existing reports to enhance
data visualization capabilities and improve
overall reporting efficiency.
Sparity's team analyzed the client's data lake
to find gaps and inconsistencies affecting
report accuracy.
They used data cleansing techniques to
address deviations and duplications,
improving data accuracy.
Collaborated with the client to understand
their reporting needs and implemented ETL
logics for key performance indicators (KPIs).
Solution
Sparity
Sparity
Loaded Google Cloud Storage data into
BigQuery using scheduled queries and
created consolidated aggregated tables for
efficient analysis.
Created a centralized reporting infrastructure
using Looker Studio and Tableau. They also
migrated existing reports from spreadsheets
to Google Sheets, integrating seamlessly with
BigQuery for efficient data retrieval.
Sparity
Click on the link in the caption
to get the complete Casestudy

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Elevating Insurance Analytics A Looker and GCP Success Story.pdf

  • 1. Elevating Insurance Analytics: A Looker and GCP Success Story Sparity
  • 2. Sparity Client is a leading insurance provider, having a vast amount of policy and insurance data stored in their existing data lake. They sought Sparity’s expertise to improve data quality, streamline reporting processes, and migrate existing reports to more efficient platforms.
  • 3. Sparity KeyChallenges Need for standardization of data in their data lake to facilitate efficient analysis and reporting across multiple dashboards. Implementing ETL measures for all the key performance indicators (KPIs) to ensure accurate and consistent reporting. Recreation of existing reports to enhance data visualization capabilities and improve overall reporting efficiency.
  • 4. Sparity's team analyzed the client's data lake to find gaps and inconsistencies affecting report accuracy. They used data cleansing techniques to address deviations and duplications, improving data accuracy. Collaborated with the client to understand their reporting needs and implemented ETL logics for key performance indicators (KPIs). Solution Sparity
  • 5. Sparity Loaded Google Cloud Storage data into BigQuery using scheduled queries and created consolidated aggregated tables for efficient analysis. Created a centralized reporting infrastructure using Looker Studio and Tableau. They also migrated existing reports from spreadsheets to Google Sheets, integrating seamlessly with BigQuery for efficient data retrieval.
  • 6. Sparity Click on the link in the caption to get the complete Casestudy