It included three stages covering people, processes and technology. 3. 367 0 obj <> endobj Rob vander Meulen 3 0 obj 26. Data & Analytics Driving Business Performance This study found that the enterprises with the most sophisticated Data & Analytics capabilities demonstrate higher levels of corporate business performance when holding constant factors such as industry vertical and company size. rob.vandermeulen@gartner.com, Thomas McCall Overview of the Maturity Model for Data and Analytics.
1 0 obj In terms of infrastructure, on-premises deployments still dominate globally, ranging from 43 to 51 percent of deployments depending on use case. @7XͶf�5�oV�q�U�g��V|m־������;��. Business Analytics Maturity Models This study identified fourteen unique BA maturity models in the BA literature. stream endobj x��Z[o�~7����b��h�/��N
"But traditional forms of analytics and business intelligence remain a crucial part of how organizations are run today, and this is unlikely to change in the near future.".
Maturity Model Several other digital maturity models exist but with varying scopes, points of view, and metrics for measuring success. Today, most public cloud workloads are new and we won't see the percentage of cloud use rise until legacy workloads migrate en masse," said Mr. Hare. %���� In the same manner, traditional data sources such as transactional data and logs also continue to dominate, although 46 percent of organizations now report using external data. Our unmatched combination of expert-led, practitioner-sourced and data-driven research steers clients toward the right decisions on the issues that matter most. ARMA International, “Generally A ccepted Recordkeeping Principles - Information G ov- To learn more about how we help decision makers fuel the future of business, visit gartner.com. Overview of the Maturity Model for Data and Analytics. thomas.mccall@gartner.com. �/MS%Z���`�֘�Abp�G��j>�'z�r�ap��b�ͣ�����j�٨�������2�4�|_6�����.� �j�e���Pi��Ө%. This compares to 44 percent in North America and just 30 percent in Europe, the Middle East, and Africa (EMEA). "Don't assume that acquiring new technology is essential to reach transformational levels of maturity in data and analytics," said Mr. Heudecker. "It's easy to get carried away with new technologies such as machine learning and artificial intelligence," added Mr. Heudecker. <>/ExtGState<>/XObject<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI] >>/Annots[ 16 0 R] /MediaBox[ 0 0 612 792] /Contents 4 0 R/Group<>/Tabs/S/StructParents 0>> Figure 1. Source: Gartner (October 2017) The survey revealed that 48 percent of organizations in Asia Pacific (APAC) reported their data and analytics maturity to be in the top two levels.
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Gartner <>/Metadata 1146 0 R/ViewerPreferences 1147 0 R>> We use cookies to deliver the best possible experience on our website. Follow news and updates from the events on Twitter using #GartnerDA. A worldwide survey* of 196 organizations by Gartner, Inc. showed that 91 percent of organizations have not yet reached a "transformational" level of maturity in data and analytics, despite this area being a number one investment priority for CIOs in recent years. h�bbd```b``V�+@$�X�%� &���{ � ���5�d�����5XV̶����,)��Ad�U ��a?#�?���T �30N�` ��L
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endobj It found that 60 percent of respondents worldwide rated themselves in the lowest three levels. This all translates to competitive advantage and differentiation.". The global survey asked respondents to rate their organizations according to Gartner's five levels of maturity for data and analytics (see Figure 1).
Business Analytics maturity model developed by Gartner group is a more organization oriented maturity model. 401 0 obj <>stream %PDF-1.6 %���� "Most organizations should be doing better with data and analytics, given the potential benefits," said Nick Heudecker, research vice president at Gartner. "As organizational maturity improves to enterprise level and beyond, organizational and funding issues tend to rise.".