With less than one full quarter left in the calendar year, data leaders in every industry know the clock is ticking when it comes to their data modernization goals.
An overwhelming 94% of respondents to Hakkoda’s State of Data report said they will need to modernize their data stack this year, and more than two thirds of those respondents indicated they would need to modernize “a great deal” within that time frame. For companies that have yet to put an actionable data strategy and accelerated data migration roadmap in place, the fear of being left behind by more data-savvy competitors will only intensify as the days grow shorter and the AI boom continues to accelerate.
But it isn’t all doom and gloom for those enterprises still looking to migrate to the cloud in the coming months. The heyday of traditional migration methods may be in the past, but latecomers angling to make the leap to the Snowflake AI Data Cloud aren’t completely without options.
With support from the right accelerated migration partner, equipped with the right data talent and AI tooling, these organizations still have a fighting chance of reaching their data goals.
The Limitations of a Traditional Data Migration
Historically, data migrations have relied on extensive manual labor. Not only does this approach consume thousands of hours of manpower, it also significantly increases the risk of costly human errors.
Furthermore, teams undertaking migration in this way frequently encounter unanticipated costs and delays due to their inability to accurately estimate the complexity and dependencies of their legacy systems. This can result in substantial project overruns and reduced agility, hindering a company’s ability to quickly capitalize on their data investments.
As if that isn’t bad enough, a traditional approach to migration also often fails to optimize the new data environment and address data governance problems carried over from their legacy counterparts. This leaves organizations with blatant data quality issues and other inefficiencies that persist post-migration.
As a result, traditional migration methods often impede other data projects, delaying the realization of business value and slowing down the overall modernization journey.
Hakkōda’s Refactored Approach to Accelerated Data Migration
Hakkoda’s AI-accelerated migration solution rethinks the data migration process from the ground up by leveraging advanced AI technologies, advanced conversion tools like SnowConvert, and deep expertise—not just across the modern data stack, but within specific industries, which bring their own unique challenges, regulations, and goals to the table.
By automating labor-intensive tasks such as code conversion and validation, Hakkoda eliminates the inefficiencies and errors associated with traditional manual methods. This approach allows businesses to drastically cut down on migration timelines, reducing them from several months to just a few weeks.
Additionally, Hakkoda’s AI-driven accelerators are tailored to address specific industry challenges, ensuring a smooth and precise migration. With a mix of certified data professionals and cutting-edge AI tools, Hakkoda provides a seamless and efficient migration experience, allowing businesses to focus on innovation and strategic initiatives rather than operational headaches.
The integration of AI not only speeds up the migration process but also ensures data integrity and security, offering a comprehensive solution that addresses the unique requirements of every customer.
Customer Success: Getting More Value Out of Snowflake, Faster
Hakkoda’s proven track record of successful legacy migrations speaks volumes about the firm’s pragmatic methods and far-reaching expertise.
For example, a large public sector healthcare organization leveraged Hakkoda’s accelerated migration to overhaul their data infrastructure, achieving a remarkable 60% reduction in costs and a 16x increase in migration speed. This monumental improvement not only streamlined the organization’s operations but also paved the way for advanced analytics and predictive studies, such as predicting leukemia incidences.
Likewise, a leading used vehicle retailer significantly shortened their migration timeline by outsourcing their data conversion to Hakkoda. The collaboration led to the conversion of 1,301 Teradata objects within the first four months and drastically improved workflow efficiencies. By implementing daily standup sessions and prioritizing mission-critical data, the retail organization was able to fast-track their migration and achieve unprecedented data accuracy.
Comprehensive Support for Migration and Modernization
Hakkoda offers a comprehensive suite of services designed to meet organizations wherever they fall on the data maturity scale. For organizations early in their data innovation journey, this means ensuring minimal disruption while transitioning to a Snowflake-based data stack.
From the initial inventory and assessment phase to complexity analysis and code conversion, Hakkoda’s proprietary tools and data expertise combine to enable precise mapping of data dependencies and complexities, allowing for a more accurate, comprehensive, and efficient migration process.
During the code conversion stage, Hakkoda’s AI-driven tools handle complex transformations, ensuring that business logic and data models are accurately migrated. This reduces the time and effort required for manual intervention, significantly decreasing the risk of errors. Validation is equally rigorous, with automated tools conducting thorough checks to ensure data integrity and accuracy post-migration.
By integrating advanced DataOps practices, Hakkoda enhances the overall efficiency and reliability of the migration process. This end-to-end support framework is designed to not only meet current migration needs but also train and prepare organizations for future data modernization efforts.
Hitting the Moving Target of Data Maturity with Hakkōda
The sometimes exponential evolution of the current technological landscape means that organizations need a data strategy that not only meets current demands but is also resilient to future changes. “Data maturity” is a moving target that will continue to elude enterprises without an agile and scalable data strategy in place.
To that end, Hakkoda’s accelerated data migration solution doesn’t just empower businesses to make the one-time transition to the Snowflake AI Data Cloud, unlocking advanced analytics capabilities and enabling real-time data insights on the way. By leveraging AI-driven tools and tried-and-true best practices, Hakkoda also ensures that your Snowflake environment is optimized for ongoing performance and scalability.
This future-proof approach allows organizations to efficiently manage growing data volumes and complexities, ensuring they remain competitive even as the bedrock of their data-centric industries continue to shift.
Ready to join innovators in your industry with an accelerated, outcome-oriented approach to data migration? Talk to one of our experts today.
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