Qlik launched two new resources that build on the recent global IDC study sponsored by Qlik. The study shows organizations that invest in creating data-to-insights (D2I) capabilities through modern data and analytics pipelines are seeing significant gains. 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 on strategic investments that can have a significant bottom-line impact.
Varun Babbar, Country Manager, Qlik India, said, “Indian organizations are missing a crucial opportunity to impact their performance by turning data into ongoing business value due to gaps in leaky data pipelines. 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.”
The overall survey of 1,200 business leaders show there are key differences in how each country is approaching data pipelines and their D2I capabilities, and how those approaches are impacting business performance.
- The average D2I score is 41.8 across Asia Pacific. India showed the highest overall score at 47.4, with Australia close behind at 42.4. Singapore and Japan carried the lowest scores at 38.8 and 38.5, respectively.
- Virtually every company surveyed across Asia Pacific reported a significant challenge in identifying which data sources were valuable. Singapore recorded the highest rate of this challenge (100%), followed by India (98%), Australia (97%), and Japan (89%).
- The greatest challenges for Indian organizations in capturing data and moving it for processing are ensuring all relevant data is captured (53%), transferring data in a timely manner (46%), and ensuring data quality (45%)
- The greatest pain points for Indian organizations in processing data into an analytics-ready form are refreshing and updating data correctly (53%), assuring data correctness (49%), and dealing with missing and incomplete data issues (47%).
- When it came to executing data analytics, presenting analytics in a clear and persuasive form (55%) and conducting the appropriate analytics for the issue being examined (52%) remains the two main pain points among Indian organizations.
- Improved operational efficiency (81%), customer satisfaction/loyalty (81%), and profit (78%) were the most commonly reported improvements experienced by Indian organizations as a result of investments in data management and analytics.
Varun Babbar, Country Director, Indian Subcontinent at Qlik, continued, “Today, the most common challenges Indian organizations face are flawed analysis, data accessibility issues, and unrealistic targets. We have already seen how the right investments in robust data architectures and data literacy training can bring higher operational efficiency, customer satisfaction, and profit to any business. Companies should, therefore, implement this practice and inspire others to follow suit.”
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.
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.
Qlik’s data integration and data analytics platforms, together with its data literacy as a service offering, deliver the industry’s only end-to-end approach to Active Intelligence. Unlike traditional BI, Active Intelligence realizes the potential in data pipelines by bringing together data at rest with data in motion for continuous intelligence derived from real-time, up-to-date information, and is specifically designed to take or trigger immediate actions. This eliminates data leaks by closing the gaps from relevant to actionable data (Qlik Data Integration), actionable data to actionable insights (Qlik Analytics) and from investment to value (Data Literacy as a Service).