Higher Education

  • 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?

Higher Education Technology Solutions

In higher education, staying at the forefront means leveraging innovative solutions that automate reporting, manage yield effectively, increase engagement, and optimize programmatic initiatives. Our tailored suite of solutions is designed to meet the unique challenges of the higher education sector, providing you with the tools to excel in a rapidly evolving educational landscape.

Why is data quality important in higher education?

Data quality is crucial in higher education for several reasons. First and foremost, accurate and reliable data ensures that educational institutions can make well-informed decisions. From strategic planning to resource allocation, having high-quality data allows universities and colleges to assess their performance, identify areas for improvement, and drive positive change.

Data quality also plays a vital role in ensuring compliance with regulatory requirements. Educational institutions are often required to report data to government agencies, accrediting bodies, and other stakeholders. Having accurate and complete data not only helps with compliance but also enhances the credibility and reputation of the institution.

Moreover, data quality supports effective student support services. Institutions can analyze data to identify at-risk students, provide personalized interventions, and track student outcomes. This promotes student success, retention, and overall satisfaction.

Lastly, high-quality data enables research and evidence-based decision-making. Researchers rely on accurate data to conduct studies, analyze trends, and generate insights that can inform educational policies and practices.

In summary, data quality is essential in higher education as it enables informed decision-making, ensures compliance, supports student success, and facilitates research and innovation.

Our Approach

We take a holistic and strategic approach to automated reporting and optimization in higher education. Our team collaborates closely with your institution to understand your unique challenges and goals, developing customized solutions that align with your vision for excellence in education.

Partnering for Success

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.

Higher Education with Automation and Optimization

Transform your institution into a beacon of excellence by adopting automated reporting and optimization solutions. Respond to the evolving needs of the education sector with agility, make informed decisions, and create an engaging and thriving academic community.

Datagaps EdTech Solutions

In the era of digital transformation in higher education, where public and private sector activities are swiftly transitioning online, the resilience of your systems and software is non-negotiable. With Datagaps EdTech Solutions, we bring unparalleled testing expertise and unmatched resources to fortify your educational technology, ensuring it’s not just ready but excels in the face of any challenge. Explore a new era of robust and adaptive EdTech solutions designed for the demands of the modern educational landscape.

Success Stories

1. Data Quality Improvement for a Major University.

Our university client used our software to validate ETL processes during a migration to a new ETL tool. They created 1500 automated test cases that continue to ensure accurate transformations and identify issues in their data analytics.

– 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.

Signup for a free trial of ETL Validator

Reduce your data testing costs dramatically with ETL Validator –

Get your I4 days free trial now.

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

product_menu_icon01

DataOps Suite

End-to-End Data Testing Automation

product_menu_icon02

ETL Validator

Automate your Data Reconciliation & ETL/ELT testing

product_menu_icon03

BI Validator

Automate functional regression & performance testing of BI reports

product_menu_icon04

DQ Monitor

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

product_menu_icon05

Test Data Manager

Maintain data privacy by generating realistic synthetic data using AI

About
Free Trial