It’s Wise to Choose Open
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Data Value Scorecard
A measure of companies' efforts to unlock the value of data.
Companies have spent the past two decades collecting nearly limitless amounts of data. Data leaders are now under pressure to monetize that captured data and show a meaningful return on the investments (ROI) made.Data is immensely valuable for businesses, but many are learning the hard way that it requires more than a few smart hires and flashy data tools. Instead, it requires building a solid foundation in the form of data architecture that enables users across the business to generate insights and lead to monetization.
The Data Value Scorecard provides a measure of companies' efforts to unlock the value of data.
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Most companies struggle with getting the most out of their data, averaging just 26% on the Data Value Scorecard. Only 28% say it is very easy to access data, 51% expect data freshness in terms of weeks versus minutes, and 80% of data projects underestimate ETL times.
Wakefield Research
June 2021
A Data Analytics Paradigm Shift
Data warehouse costs lead to poor financial governance for data leaders and CFOs.
Data leaders are frequently concerned about the out-of-control costs of data warehouses, particularly as their workloads grow. Moreover, the lack of predictability around future costs leads to very poor financial governance.
TCO Considerations of using a Cloud Data Warehouse for BI and Analytics
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By 2022, 75% of organizations using cloud data management will encounter budget overruns. Financial governance will provide increased predictability and identify opportunities for cost optimization.
Gartner
April 2020
The BI and Analytics Paradigm Shift
Drive significantly better data ROI at lower costs directly from your data lake.
While we understand you have an expensive sunk cost for data warehouses, companies such as yours globally are keen on ways to drive newer analytics architectures directly from open data lakes for better financial governance and highly performant BI.
Twelve Considerations when Evaluating Data Lake Engine Vendors for Analytics and BI.
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As a business accelerator, Dremio will help to facilitate a complete view of private and public market information into a single authoritative golden source.
Emil Werr
Head of Data and Analytics, KKR
Dremio helped us modernize our existing data infrastructure, achieving dramatic SQL query acceleration on top of AWS data lake.
Wilson Tsai
VP, Director – Data Platform Infrastructure & Services, FactSet
Business units could reduce their data requests to IT, more-and-more often they can just look at it and use it.
Lotar Schin
Big Data Team Lead, OTP Bank Hungary
Take the next step!
Whether you’re trying to drive more data ROI or reduce data costs, Dremio’s BI and Analytics Experts can help you chart a path to truly unlocking data value.
Data Value Consultation
Book a consultation session with a Data ROI Expert for a deep-dive review of your BI and analytics program and recommendations.
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TCO Assessment
Speak to an Analytics Expert for a detailed assessment of the analytics paradigm shift within your environment.
Assess TCOHow can Dremio help?
Dremio is the SQL Lakehouse company, enabling companies to leverage open data architectures to drive more value from their data for BI and analytics.
