Roundtable comprised of category-leading system integrators reveals strategies to better equip enterprise clients with modern data strategies
Matillion, the leading provider of data transformation for cloud data warehouses (CDWs), brought together data management consulting services leaders for a Matillion partner advisory roundtable to discuss how enterprise data transformation needs are impacted by current market trends. The event, held virtually in Q3, revealed the existing challenges and trends that are accelerated by the global pandemic and the pressing enterprise needs to access and leverage data for decision making.
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– There is increasing demand for low-code and open source solutions among different data personas.
Businesses look to enable diverse roles within their organization to use data tools that can help them take control of their projects. There is demand among data engineers who want to use solutions with both low code and open source options. There is still a need for open source, which allows engineers to innovate with data. However, an emphasis on time-to-value and scalability within a complex, enterprise IT environment, and the need to access data across parts of a business, is driving the low code/no code market.
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– Enterprises are balancing the need for speed with cost optimization.Â
Before the pandemic, many businesses were looking to increase time to value without increasing costs. But now, enterprises need to reduce infrastructure costs in preparation for a potential recession, but they also desire the quick implementation of solutions that enable them to leverage their data and reduce data latency to make timely, fact-based decisions.
–Enterprises need proven tech stacks and solutions from data consultants.
In an effort to help companies optimize cost and scale strategies, consultants see a need to deliver off-the-shelf solutions that will work for diverse business use cases. Data management, integration, and transformation solutions need to work well with one another to allow enterprises easier onboarding, quicker proof of concepts to demonstrate results, and faster time to value. Offering ready-made technology stacks delivers value for clients faster as data projects are scaled down to align with pressured budgets and internal competition for available resources.
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