BFSI

Banking, Financial Services and Insurance

  • Can ETL Validator help compare data from multiple sources?
  • Does ETL Validator support Continuous Integration?
  • Is there any way to schedule tests and receive email notification?
  • Is there reporting available for Test Runs?
  • What is File Watcher?
  • What if my data source is not supported by ETL Validator?
  • Is there a free trial available for ETL Validator?
  • What is a repository and workschema? what databases are supported as repository?
  • What are the Architectural components of ETL Validator?
  • What are the System Requirements for doing a pilot?
  • Can ETL Validator help compare data from multiple sources?
  • Does ETL Validator support Continuous Integration?
  • Is there any way to schedule tests and receive email notification?
  • Is there reporting available for Test Runs?
  • What is File Watcher?
  • What if my data source is not supported by ETL Validator?
  • Is there a free trial available for ETL Validator?
  • What is a repository and workschema? what databases are supported as repository?
  • What are the Architectural components of ETL Validator?
  • What are the System Requirements for doing a pilot?

Financial Services and Insurance

Transforming Financial Excellence: Elevating Analytics in Finance, Banking, and Insurance through Data Management

In the fast-paced world of finance, banking, and insurance, the reliance on accurate and trustworthy data is the cornerstone of success. Datagaps emerges as the catalyst for this transformation, propelling these industries into a new era of analytics excellence through robust data management practices.

Empowering Financial Decision-Making

Some programmers are not well trained as testers. They may like to program, deploy the code, and move on to the next development task without a thorough unit test. A checklist will aid database programmers to systematically test their code before formal QA testing.

In the dynamic landscape of finance, every decision is a data-driven decision. Datagaps is dedicated to elevating the analytics quality that underpins these crucial choices. With a steadfast commitment to data management, our mission is to instill unwavering trust in financial institutions, ensuring that decisions based on data are not just accurate but also reliable.

Revolutionizing Data Integrity in Banking, Finance, and Insurance

At Datagaps, we understand the unique challenges faced by the banking, finance, and insurance sectors. Our comprehensive approach to data management goes beyond conventional practices, addressing the intricacies of these industries. We specialize in empowering organizations to fortify their data integrity through innovative Analytics Assurance.

Cost-Effective Solutions for the Financial Sector

In the competitive realm of finance, cost-effectiveness is key. Datagaps offers tailored solutions designed to reduce operational costs through advanced AnalyticsOps. Our suite of services, including BI Testing, is crafted to optimize business intelligence processes, ensuring that financial institutions operate efficiently while minimizing expenses.

AnalyticsOps: A Game-Changer for BFSI

Welcome to the era of AnalyticsOps, where Datagaps leads the charge in transforming financial landscapes. Our innovative approach, rooted in automation and efficiency, not only reduces costs but also accelerates time-to-market for financial organizations. By incorporating rigorous quality assurance measures, we mitigate risks, safeguarding the integrity of financial data in an ever-evolving digital landscape.

Key Benefits of AnalyticsOps in Finance, Banking, and Insurance:

Cost Reduction: Datagaps leverages AnalyticsOps to automate operations, resulting in a substantial reduction in operational costs for financial institutions.

Accelerated Time-to-Market: In the highly competitive financial sector, AnalyticsOps expedites project deliveries, allowing organizations to stay ahead of the curve.

Risk Mitigation: Our rigorous quality assurance measures ensure that analytics processes are resilient to potential risks, safeguarding the integrity of financial data.

Success Stories

1. Trust in Snowflake Data Vault for Asset Management

DataOps Suite manages asset datasets, integrates with Snowflake and Azure pipelines, and performs daily validation of over 10 testing suites, transformation logic, and data validation. Helps avoid business disruptions and FCA fines.

– Download the case study

2. The Cost Benefit of Data Migration to the Cloud

Datagaps automates data migration testing to the cloud, ensuring data accuracy, ETL processes validation, and analytics tool functionality. It saves time and costs and guarantees a seamless transition to the modern data stack.

– Download the case study

Trusted Data Summit

If you missed the Trusted Data Summit event, you can still access the videos below to learn from the sessions about transforming data management. 

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Data Quality

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

Synthetic Data

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

ETL Testing

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.

BI Validation

Automate testing of Business Intelligence applications by making use of the metadata available from the BI tools such as Tableau, OBIEE, and Business Objects.
Products
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DataOps Suite

End-to-End Data Testing Automation

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ETL Validator

Automate your Data Reconciliation & ETL/ELT testing

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BI Validator

Automate functional regression & performance testing of BI reports

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DQ Monitor

Monitor quality of data being Ingested or at rest using DQ rules & AI

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Test Data Manager

Maintain data privacy by generating realistic synthetic data using AI

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