Matillion, the leading provider of data transformation for cloud data warehouses (CDWs), and IDG Research have released findings of an IDG Research MarketPulse survey, “Gaining Time, Savings, and Insights via Cloud-Powered Data Transformation.”
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The research exposes the challenges companies face in leveraging enterprise data for analytics and identifies data portability, time-to-value, and self-service for business users as top requirements to address these challenges.
The survey polled more than 200 IT, data science, and data engineering professionals at North American organizations with at least 1,000 employees.
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The top takeaways include:
Businesses waste too much time wrangling and preparing data.
– It takes about a week, on average, to aggregate and prep data so that it is useful for analysis
– Nearly half (45%) of time spent on data analytics projects is dedicated to data preparation, instead of on more strategic, high-value tasks
– Six in ten cited lack of scalability and flexibility as a challenge when preparing data for analytics
– Nearly all (97%) are searching for ways to accelerate the data transformation process
Enterprises deal with widespread operational and technical challenges in getting data analytics projects to production.
– Nearly half (47%) of respondents said data control issues are the biggest challenge to data analytics projects
– Other top challenges indicated are lack of a scalable, reliable technology platform to process large data sets (45%), having too many manual processes (38%), and challenges cleansing and preparing data (36%)
– 40% cited lack of visibility and control of data silos as a challenge when collaborating with business users
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