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Knowledge integrity disconnect: Why the views of information groups and enterprise stakeholders differ vastly


We already know comms execs are skeptical of the information they work with, and the information managers who present it, and now new analysis from knowledge integrity agency Exactly, in collaboration with Enterprise Utility Analysis Centre (BARC), finds a extra systemic concern.

The newly launched Way forward for Knowledge Structure examine reveals main discrepancies in how knowledge structure and administration is considered throughout organizations—with central knowledge and analytics groups usually glad with the long run viability of their knowledge landscapes, however enterprise customers unconvinced that current structure is trendy sufficient to satisfy always evolving enterprise wants.

Data integrity disconnect: Why the perspectives of data teams and business stakeholders differ greatly

The report additionally reveals that whereas 70 p.c of enterprise customers consider that carried out knowledge and analytics purposes don’t cowl their present or future necessities, solely 32 p.c of central knowledge and analytics groups share the identical sentiment. Moreover, 52 p.c of enterprise customers agree that current knowledge is not appropriate for needed enterprise evaluation, in comparison with solely 36 p.c of central knowledge and analytics groups. The outcomes present a transparent disconnect between knowledge and analytics groups and their key stakeholders—with enterprise customers unable to depend on trusted knowledge for assured decision-making.

Stakeholders suppose the evaluation instruments usually are not the limiting issue, however quite the information panorama:

Data integrity disconnect: Why the perspectives of data teams and business stakeholders differ greatly

“As companies more and more concentrate on turning into extra data-driven, they’re being confronted with large volumes of information being generated at accelerated charges,” mentioned Emily Washington, senior vice chairman—product administration at Exactly, in a information launch. “The report clearly signifies a rising want for organizations to make sure that current knowledge administration and structure can meet, and adapt to, the fast-changing wants of the trendy enterprise. If organizations are missing a transparent technique for knowledge integrity, they’ll shortly discover that the information fueling their most necessary choices is inaccurate, inconsistent, and missing important context.”

The analysis additional reveals the important thing challenges highlighted by enterprise managers, together with extensibility of actual or near-time necessities (41 p.c), comprehensibility of the information panorama or structure as a complete (39 p.c), and suppleness of prolonged knowledge necessities (32 p.c).

Knowledge tradition doesn’t solely concern knowledge shoppers:

Data integrity disconnect: Why the perspectives of data teams and business stakeholders differ greatly

The principle drivers for modernization are the optimization of current knowledge fashions and processes, migration to cloud platforms, and efforts to enhance the standard of supply knowledge or knowledge interfaces.

Regardless of dealing with challenges with rising volumes of disparate knowledge sources, the analysis revealed that fifty p.c of organizations are persevering with to depend on knowledge warehouses as a design paradigm when redesigning their knowledge architectures. Nonetheless, executives and enterprise customers criticize the truth that centralized approaches can not stop the emergence of additional knowledge silos. Due to this fact, corporations want to enhance their supply knowledge to streamline their knowledge pipelines and construct a greater foundation for knowledge virtualization.

“It’s encouraging to see that enterprise leaders are more and more targeted on breaking down knowledge silos, enhancing the standard of their knowledge, and enriching it for max context. To realize these objectives, organizations should implement a strong technique for knowledge integrity—combining knowledge integration, knowledge governance and high quality, location intelligence and knowledge enrichment to supply a basis of trusted knowledge that may be shared throughout the enterprise,” mentioned Washington. “Whether or not the group must automate decision-making, transfer quick and scale back prices, or handle danger and adjust to advanced laws—a contemporary, and future-proof, knowledge structure is essential to remaining agile in difficult occasions.”

Most modernization efforts observe previous ideas:

Data integrity disconnect: Why the perspectives of data teams and business stakeholders differ greatly

Obtain the complete report right here.

The examine was based mostly on the findings of a world-wide on-line survey carried out in March and April 2022. 268 responses have been analyzed for the report, with world illustration as follows: Europe (52 p.c), North America (35 p.c), Asia and Pacific (8 p.c), South America (3 p.c) and Africa (2 p.c). The target market was primarily knowledge and analytics leaders or government/C-Degree roles, with illustration throughout a number of industries—together with IT, banking and finance, public sector, and retail.



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