Intelligent CIO APAC Issue 15 | Page 20

LATEST INTELLIGENCE

DASHBOARDS ARE DEAD .

PRESENTED BY
HOW MODERN CLOUD ANALYTICS IS DELIVERING PERSONALIZED INSIGHTS FOR ALL

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The end of an era
For more than 20 years , dashboards served as a foundational element of business intelligence , helping leaders visualize and share valuable data across their organization . At inception , dashboards were the perfect vehicle for delivering key report KPIs without data workers needing a background in coding or IT . But much has changed over the last two decades , including the appetite and needs of your business users .
In 2020 , COVID-19 made it painfully clear that dashboards lacked the speed , scale , and granularity to make real-time decisions with data . Overnight thousands of dashboards and years of analytics efforts became obsolete . Pixel-perfect charts became costly , high-maintenance works of static data art instead of useful views into the real-time health and status of your business . Your demand for new , unforeseen analytics use-cases skyrocketed , dashboards were sidelined for manual data extracts and daily reports . Day-old data was useless , and only in-the-moment-insights became relevant , pushing analytics teams to their breaking point . But we don ’ t have to tell you this . You were there .
Today , only 10 % of executives believe their company is analytics mature .* That is to say , only 10 % of executives believe their employees can effectively leverage data for decision making – and they ’ re absolutely right . Analytics adoption rates have stagnated at around 30 % across the board , despite two decades of tremendous investment by the organizations that use them . Why is that ? The problem isn ’ t inadequate training or lack of motivation on the part of business users . On the contrary , traditional BI tools just weren ’ t built for them .
Dashboards have failed to deliver on the promise of a data-driven culture .
According to research , 84 % of frontline workers ** report a poor experience with analytics solutions and difficulty accessing data and insights , and an additional 86 % report a need for better insights technology .
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