\n<\/p>\n
\n Organizations demonstrate analytics maturity in strategy and data dimensions, but they lack workforce- and process-related analytics capabilities <\/p>\n
SINGAPORE – Media
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According to the research, APAC
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To help
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The
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It also
“In today’s volatile, uncertain and challenging
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“Despite the rapid rate of digital transformation and
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The research findings also highlight the potential of a
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The Alteryx Analytic Process Automation (APA)
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“Data should no longer sit idly in an organization. With
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To access the full IDC Infobrief: Toward Analytics
To assess your organization’s analytics maturity with
[1]<\/sup><\/span><\/sup><\/span> [2]<\/sup><\/span><\/sup><\/span> The data dimension assesses how data, the raw
[3]<\/sup><\/span><\/sup><\/span> The workforce dimension assesses whether productivity
[4]<\/sup><\/span><\/sup><\/span> The process dimension assesses whether definition,
Organizations demonstrate analytics maturity in strategy and data dimensions, but they lack workforce- and process-related analytics capabilities SINGAPORE – Media
OutReach – 7 September 2021 –\u00a0Delivering fresh
insights into Asia Pacific (APAC) enterprises’ ability to create business value
from data analytics, Alteryx,
Inc. (NYSE: AYX), the
Analytics Automation company, today released
findings from its research …<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[60],"tags":[],"_links":{"self":[{"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/posts\/17365"}],"collection":[{"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/comments?post=17365"}],"version-history":[{"count":0,"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/posts\/17365\/revisions"}],"wp:attachment":[{"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/media?parent=17365"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/categories?post=17365"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/tags?post=17365"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nOutReach<\/a> – 7 September 2021 –\u00a0Delivering fresh
\ninsights into Asia Pacific (APAC) enterprises’ ability to create business value
\nfrom data analytics, <\/span>Alteryx,
\nInc.<\/a> (NYSE: AYX), the
\nAnalytics Automation company, today released
\nfindings from its research report titled, “<\/span>Toward Analytics Automation in Asia Pacific<\/a>“. The research, conducted by International
\nData Corporation (IDC) and commissioned by Alteryx, reveals a significant gap
\nbetween regional enterprises’ business priorities and performance, one that can
\nbe bridged by overcoming the lack of workforce- and process-related analytics capabilities.<\/p>\n
\n
<\/p>\n
\n
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\nenterprises’ top business priorities include customer experience, productivity
\nenhancement, cost reduction, new product development and business model
\ninnovation. Currently, while more than 90 percent of business
\nexecutives believe that data analytics are important for their organizations to
\nremain performant, less than one in five (19 percent) enterprises across the
\nregion have achieved <\/span>high analytics maturity. Enterprises that are ‘Analytics
\nExperts’ tend to outperform their peers across all major business priorities,
\nespecially in areas like cost reduction (56 percent), business model innovation
\n(28 percent), new product development (17 percent) and market expansion (12
\npercent).<\/span><\/p>\n
\n
<\/p>\n
\n
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\nAPAC enterprises to determine their analytics maturity level, IDC designed a
\nframework that assesses their standing across four key dimensions \u2013 <\/span>strategy[1]<\/sup>,
\ndata[2]<\/sup>,
\nworkforce
\nand process[4]<\/sup>,
\nbefore providing an aggregated score that identifies Beginners, Practitioners,
\nor Experts. In addition, the framework describes the journey to becoming an
\nAnalytics Expert by achieving maturity in strategy, data, workforce, and
\nprocess.<\/span><\/p>\n
\n
<\/p>\n
\n
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\nresearch found that enterprises across the region are more mature in strategy
\nand data dimensions, with 48 percent having achieved buy-in and alignment amongst
\nkey stakeholders regarding analytics initiatives, but only 38 percent having established
\npolicies and practices to ensure data integrity. A large majority, however, lack
\nthe necessary workforce (86 percent) and process capabilities (93 percent),
\nwhich are the most crucial for driving data-driven transformation at scale<\/i>
\nand deriving long-term business value.<\/p>\n
\n
<\/p>\n
\n
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\nsuggests that enterprises need to build workforce or process-related
\ncapabilities to derive business value from data analytics. In their daily
\nroles, executives across the region currently struggle with hard to use tools
\n(55 percent), scattered and unmanaged tools (49 percent), lack of timely access
\nto data (44 percent), data lineage and integrity (44 percent) and lack of data
\nliteracy (43 percent). These challenges are exacerbated by increased complexity
\nand organizational demands for data analytics to be delivered at greater speed
\nand scale, with the average APAC enterprise currently facing internal requests to
\ninclude 26 new data sources and 30 new data types per month.<\/span><\/p>\n
\n
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\nbusiness environment, enterprises have expressed the need to invest in
\nmission-critical business areas. In addition, with the evolving needs of
\ncustomers, enterprises must innovate their business models to meet new needs,” said
\nJulian Quinn, Senior Vice President, APJ, Alteryx. “The findings show a consensus towards the critical role that
\nanalytics plays in driving business performance. Yet, organizations are
\ngrappling with multiple challenges in using data analytics, uncovering the need
\nto improve workforce and process analytics capabilities. To deliver
\nbreakthrough outcomes, organizations need to automate processes and democratize
\ndata analytics, elevating workforce’s ability to gain on-demand insights for thriving
\nin their roles.”<\/p>\n
\n
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\n
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\ndata generation, many organizations in Asia Pacific are not yet experts in data
\nanalytics. They are at the Beginners stage in their workforce and process
\ndimensions which are critical for empowering employees to do their jobs better,
\nfaster and with greater impact,” said Dr. Chris Marshall, Associate Vice President,
\nAPAC, IDC. “In the face of workforce and process challenges, organizations
\ntoday can close the gaps with advanced analytics tools. Analytic process
\nautomation is a low-code solution that has emerged as a way forward to remove
\nfriction, enabling analytics capabilities to scale quickly across the entire
\norganization.”<\/p>\n
\n
<\/p>\n
\n
<\/p>\n
\nself-service, human-centric analytics automation platform to bridge existing
\nworkforce and process capability gaps, address analytics challenges faced by executives,
\nand put organizations on a path to become Analytics Experts. <\/p>\n
\n
<\/p>\n
\n
<\/p>\n
\nPlatform\u2122 delivers end-to-end automation of analytics, machine learning and
\ndata science processes. As a result, organizations can automate analytics and
\ndata science, embed intelligent decisioning, empower its employees to deliver
\nfaster, better business outcomes and ultimately, enable the agility needed to
\naccelerate digital transformation.<\/p>\n
\n
<\/p>\n
\n
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\nthe help of analytics automation, an organization can leverage its best assets
\n\u2013 people, processes and data \u2013 to empower their workforce to increase overall
\norganizational performance and efficiency so that decision-making is faster and
\nmore reliable,” said Quinn.<\/p>\n
\n
<\/p>\n
\n
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\nAutomation in Asia Pacific Report, please click here<\/a>. \u00a0<\/p>\n
\n
<\/p>\n
\nIDC’s APA Assessment Tool, please click here<\/a>.<\/p>\n
\n
<\/p>\n
<\/p>\n
\n
\nstrategy dimension assesses the presence of a carefully planned data and
\nanalytics strategy. Without a strategy in place, the interdependencies amongst
\nstakeholders responsible for different initiatives will become a stumbling
\nblock to generating consistent returns from analytics investment.<\/span><\/p>\n<\/div>\n
\nmaterial, is systematically governed across the organization.<\/span><\/p>\n<\/div>\n
\ntools and automation has enabled and empowered people to do their jobs better,
\nfaster and with less effort.<\/span><\/p>\n<\/div>\n
\nstandardization, and automation of process management are in place.<\/span><\/p>\n<\/div>\n<\/div><\/div>\n\n
Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"