Companies Struggle with Deploying Changes into Production, According
to Study by Eckerson Group and DataKitchen
CAMBRIDGE, Mass.–(BUSINESS WIRE)–#DataAnalytics–DataKitchen, Inc, the first and leading DataOps platform that manages
analytics creation and operations, today announced the results of a
research survey targeting data-analytics professionals from medium to
large-sized North American and European companies representing a diverse
range of industries. With over 300 responses from around the globe, the
research helped to reveal insights into real-world, productivity-harming
challenges that face data analytics professionals. The analysis covers
topics such as the impact of data errors, delays in environment
creation, and hurdles that lead to lengthy deployment times.
Part of a larger joint study with Eckerson Group that will be issued in
late June, this first phase of results concentrates specifically on
factors that cause delays, failures, and inaccuracies in data analytics.
One stunning revelation was that 30% of respondents to the DataOps
survey reported more than 11 errors per month. That means that the data
team is spending much of its time trying to repair mistakes, thus
leaving little time for any value-add activity.
“Speed and accuracy are everything when it comes to data analytics,”
said Chris Bergh, CEO of DataKitchen. “The survey results paint a very
eye-opening picture of the plight that faces data professionals.”
To download the key findings of the 2019 DataOps Survey, visit: https://www.datakitchen.io/dataops-survey-2019.html.
DataKitchen provides the first DataOps platform for data-driven
enterprises, enabling them to support data analytics that can be quickly
and robustly adapted to meet evolving requirements. DataKitchen is
leading the DataOps movement to incorporate Agile Software Development,
DevOps, and manufacturing-based statistical process control into
analytics and data management. DataKitchen is for information technology
(IT), data warehousing, data science and analytic teams who know that in
order to meet the needs of their business, data analytics has to be ten
times more nimble and robust than it is today. Download the DataOps