{"id":44741,"date":"2025-05-01T08:41:55","date_gmt":"2025-05-01T07:41:55","guid":{"rendered":"https:\/\/www.intelligentcio.com\/apac\/?p=44741"},"modified":"2026-07-06T17:14:31","modified_gmt":"2026-07-06T16:14:31","slug":"three-out-of-four-enterprises-admit-theyre-making-crucial-business-decisions-in-the-dark","status":"publish","type":"post","link":"https:\/\/www.intelligentcio.com\/apac\/2025\/05\/01\/three-out-of-four-enterprises-admit-theyre-making-crucial-business-decisions-in-the-dark\/","title":{"rendered":"Three out of four enterprises admit they\u2019re making crucial business decisions in the dark\u00a0"},"content":{"rendered":"\n<p><em>New Sisense research finds most organizations underuse analytics tools; embedded, easy-to-use analytics offer a way forward.<\/em><\/p>\n\n\n\n<p>Sisense has released a new study that reveals a dramatic shift toward embedded analytics as organizations struggle with current data solutions.<\/p>\n\n\n\n<p>The research, in conjunction with UserEvidence, shows that while 78% of professionals lose up to half their workday to digital friction, 80% now see invisible, embedded analytics as critical to their organization&#8217;s future success.<\/p>\n\n\n\n<p>The findings, included in the <em>Sisense 2025 State of Analytics report<\/em><strong>, <\/strong>uncover a pivotal moment for enterprise data strategy: despite significant investments in analytics infrastructure, businesses are pivoting toward more seamless, user-focused solutions that integrate directly into workflows. This move comes as 53% of organizations expect more than half of their workflows to be AI-assisted by 2026<strong>,<\/strong> creating urgent demand for analytics that work invisibly alongside employees rather than requiring specialized expertise.<\/p>\n\n\n\n<p><strong>Key Findings: The Data Disconnect<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Digital Friction Wastes Time, Energy, Resources:<\/strong> Over three-quarters (78%) of respondents report losing 10\u201350% of their workday to digital friction. In a typical 1,000-employee organization, up to 10,000 hours are lost each week simply searching for the right data.<\/li>\n\n\n\n<li><strong>Decisions Made in the Dark:<\/strong> 76% admit they&#8217;ve made business decisions without consulting available databecause it was too difficult to access, creating a concerning gap between data availability and data-driven decision-making.<\/li>\n\n\n\n<li><strong>Confidence Outpaces Reality<\/strong>: While 81% of organizations believe they have good or full control of their data, nearly two-thirds (64%) acknowledge they can&#8217;t reliably access it for decision-making.<\/li>\n\n\n\n<li><strong>Innovation on the Backburner:<\/strong> Analytics-related bottlenecks delayed product releases for more than half (56%) of organizations in the past year. Nearly half (46%) report that three to five potential product innovations were delayed or abandoned due to analytics integration challenges.<\/li>\n\n\n\n<li><strong>AI Initiatives Stalled: <\/strong>Two-thirds (66%) have identified AI use cases that remain unimplemented due to integration challenges (32%), cost concerns (24%) or data quality issues (21%).\u00a0<\/li>\n<\/ul>\n\n\n\n<p><strong>The Future: Embedded, AI-Driven Insights Unlock New Potential<\/strong><\/p>\n\n\n\n<p>The survey reveals that organizations are rapidly moving toward more accessible, integrated analytics solutions:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>80% say invisible or ambient analytics will be very important or critical <\/strong>to their organization&#8217;s future<\/li>\n\n\n\n<li><strong>70% believe no-code analytics development is essential<\/strong> for business growth<\/li>\n\n\n\n<li><strong>77% consider white-label analytics capabilities critical <\/strong>for maintaining brand experience<\/li>\n\n\n\n<li>When asked what they would focus on if analytics were seamlessly integrated, organizations identified improving customer service (30%), developing new products (27%) and pursuing strategic initiatives (23%)<\/li>\n<\/ul>\n\n\n\n<p>&#8220;While companies have invested millions in data infrastructure, they&#8217;re now recognizing that value isn&#8217;t created by having data &#8211; it\u2019s created when insights are seamlessly available at the decision point,\u201d said Andrew Loomis, Sr. Director of Global Field Services, Sisense.<\/p>\n\n\n\n<p>\u201cThe more people have to find the insights, the less likely they are to succeed. Embedded analytics should be as effortless as checking your phone\u2019s battery &#8211; &nbsp;when it\u2019s low, you get an alert. The same should be true for your business: decision-makers need timely notifications when something needs attention, not hope they can find it during their next business review.\u201d<\/p>\n\n\n\n<p>The massive shift towards an integrated solution underscores the growing need for Analytics Platform as a Service (AnPaaS) &#8211; which combines business intelligence (BI) with advanced AI, robust APIs and flexible data tools within a modern architecture to deliver personalized insights and intuitive analytical experiences within products and workflows.&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>New Sisense research finds most organizations underuse analytics tools; embedded, easy-to-use analytics offer a way forward. Sisense has released a new study that reveals a dramatic shift toward embedded analytics as organizations struggle with current data solutions. The research, in conjunction with UserEvidence, shows that while 78% of professionals lose up to half their workday [&hellip;]<\/p>\n","protected":false},"author":58,"featured_media":44744,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[7027,4,7183,44],"tags":[1108,207,8290,7184],"class_list":["post-44741","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-intelligent-technologies-ai","category-analysis","category-surveys","category-top-stories","tag-ai","tag-analytics","tag-sisense","tag-surveys"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/posts\/44741","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/comments?post=44741"}],"version-history":[{"count":1,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/posts\/44741\/revisions"}],"predecessor-version":[{"id":44743,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/posts\/44741\/revisions\/44743"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/media\/44744"}],"wp:attachment":[{"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/media?parent=44741"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/categories?post=44741"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/tags?post=44741"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}