Explore our expert

Data Modernization Solution Overcome

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Learn more
Businesses are increasingly looking to migrate existing data warehouses, data lakes, ETL, and business intelligence to the cloud which is a high-risk endeavor

Forbes Intelligent Automation Trends Reveal

Enterprise data has become increasingly dynamic, distributed and diverse due to adoption of cloud technologies

70%

..cost reduction achieved via leveraging cloud-based EDW systems

Survey

Businesses have realized the need for scalable warehousing solutions to meet rising data storage and analytics demands, as they seek alternatives to traditional on-prem storage

38%

of organizations surveyed complain that data access issues hamper their efforts.

Forbes Intelligent Automation Trends Reveal

Businesses are moving away from the siloed approach of traditional data warehouses to a modern data warehouse that provides advanced capabilities to meet changing requirements

25%

Organisation save >25% on CDW over on-prem DW, while some save as high as 60% to 70%

Gartner’s IT automation Trends for 2022

73%

of executives have articulated the need to be more data-driven compared to pre-pandemic times

Forbes Insight and ARM Treasure Data, 2018

10.3%

The size of the global warehouse automation market grew by 10.3% each year from 2015 to 2019. It's is expected to double by 2026

CDP Resource, 2018

50%

Or more adoption of robotics in warehouse will increase in the next 5 years

Businesses face key challenges when it comes to migrating their on-premise data warehouses to cloud-based EDW

Contact Us

Businesses face key challenges when it comes to migrating their on-premise data warehouses to cloud-based EDW

Cost implications

Cost implications Migrating to a modern data warehouse from a legacy environment is a high-risk endeavor that requires massive up-front investments in time and resources. Unsuccessful migrations and long migration duration significantly increases project costs

Data Corruption Risks

Migrations come with inherent risks of handling data model and delta model challenges thus resulting in corrupted data. CIO’s want to gain confidence in the data migrated.

Dependency Management Issues

Identifying existing query and schema dependencies requires deep knowledge of the existing systems and planning of several months.

Lack of Expertise

Migrating from an on-premise data warehouse to cloud-based EDWs based on CP best practices is time-consuming, resource-intensive and challenging. Migration projects are risky and CIO’s needs to stand up experienced teams dedicated on a single initiative

Data Governance and Compliance

Migration involves interaction with sensitive data, usually subject to numerous data governance regulations. This requires methodologically encrypting and decrypting PII information, Credentials, and Service Account, to avoid huge sanctions

Data Security Challenges

Migration comes with the inherent risk of data exfiltration. Migration projects are risky and appropriate user and access control is required on migration projects

Data Modernization Solution Overview

Data Modernization Solution helps eliminate business risks, cost, time, frustration, and anxiety from the process of data warehouse migration to the cloud.

Data Modernization Solution Overview

Data Modernization Accelerator leverages Google Cloud Platform’s best practices resolving the most frequently faced challenges and provides the following benefits