Through the new IDC hosted assessment tool (www.D2I-Score.com
), every organization can evaluate the strengths and gaps in their own data pipelines. The tool also provides a set of recommendations that will help organizations better support and focus strategic investments that can have significant bottom line impact.
“Organizations across the globe are missing a crucial opportunity to impact their performance by turning data into ongoing business value due to gaps in leaky data pipelines,” said James Fisher, Chief Product Officer at Qlik. “Qlik’s unique end-to-end approach to data integration and analytics can help any organization act at the speed of data through improved data-to-insights capabilities that drive tangible business outcomes.”
Additionally, a new Qlik data analytics application titled “Data as the New Water: The Importance of Investing in Data and Analytics Pipelines” provides a detailed geographic breakdown of the significant differences in how respondents in key markets such as the US, UK, Brazil, Australia, Singapore and Japan are positioned to either reap the benefits or fall behind competitors based on the strength of their data pipelines.
The overall survey of 1,200 business leaders shows that those companies with the highest demonstrable D2I capabilities (Leaders), resulting in strong data pipelines that drive better decisions, see significant bottom line impact.
- 88% of Leaders said operational efficiency improved (versus 76% overall), and the average improvement was 21% (versus 17% overall)
- 86% of Leaders said revenue improved (versus 74% overall), and the average improvement was 23% (versus 17% overall)
- 90% of Leaders said profit improved (versus 76% overall), and the average improvement was 24% (versus 17% overall)
The geo-specific findings show there are key differences in how each country and region is approaching data pipelines and their D2I capabilities, and how those approaches are impacting business performance.
- The average D2I score is 41.6 across the 10 countries surveyed. A per-country analysis shows a large 17-point range, with Brazil showing the highest overall score at 52.5 and France the lowest at 34.9.
- There are a wide range of regional differences in the overall D2I scores as well. The Americas region (US, Brazil, Canada) had the highest average score at 45, followed by APAC (India, Singapore, Japan, Australia) at 41.8 and EMEA (UK, France, Germany) at 37.8.
- The Americas is seeing a higher than average increase in profit (19%) while APAC is seeing a higher than average efficiency improvement (19.7%).
- One of the strongest impacts of a higher D2I score beyond increase in profit or revenue is an increase in customer satisfaction/loyalty, essential for businesses during a COVID-19 impacted market. The overall average of increase in this category was 19.7%, with Australia leading with a 27% improvement and APAC seeing the highest average improvement at 21.5%, followed by the Americas at 19.6 and EMEA at 17.3%.
- Virtually every company in every country surveyed (96% or higher) reported a significant challenge in identifying which data sources were valuable. Only companies in Japan and Germany (89%) reported a lower rate of this challenge.
Regardless of the regional differences, every organization is inundated with complex and varied data types. Many are struggling to maximize the value of that data since it’s flowing through unintegrated and leaky data pipelines, often due to a lack of a data catalog and change data capture capabilities. In addition, investments in AI and analytics are being undercut without an agile, automated and agnostic data pipeline that continually transforms data from any cloud, system or source into enterprise-ready information that drives action and outcomes.