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\n Organizations demonstrate analytics maturity in strategy and data dimensions, but they lack workforce- and process-related analytics capabilities <\/p>\n
HONG KONG SAR – Media OutReach<\/a> – 7 September 2021 – Delivering
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According to the research, Hong
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To help
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The
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It also
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“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 HONG KONG SAR – Media OutReach – 7 September 2021 – Delivering
fresh insights into Hong Kong enterprises’ ability to create business value
from data analytics, Alteryx,
Inc. (NYSE: AYX), the
Analytics Automation company, today released
findings from …<\/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\/17366"}],"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=17366"}],"version-history":[{"count":0,"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/posts\/17366\/revisions"}],"wp:attachment":[{"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/media?parent=17366"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/categories?post=17366"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/eodishasamachar.com\/en\/wp-json\/wp\/v2\/tags?post=17366"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\nfresh insights into Hong Kong 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 enterprises’ business priorities and performance, one that can be
\nbridged by overcoming the lack of workforce- and process-related analytics capabilities.
\nThe study surveyed 100 organizations in Hong Kong across a range
\nof industries. <\/p>\n
\n
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\n
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\nKong enterprises’ top business priorities include productivity enhancement, new
\nproduct development, cost reduction and customer experience. However, major
\ngaps exist between business priorities and business performance in cost
\nreduction and new product development. Currently, while more than 90 percent of
\nbusiness executives believe that data analytics are
\nimportant for their organizations to remain performant, 26 percent enterprises have
\nachieved <\/span>high
\nanalytics maturity. APAC 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). Hong Kong has the highest number of organizations who are ‘Analytics
\nExperts’ among the countries surveyed. <\/span><\/p>\n
\n
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\nenterprises 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[3]<\/sup>
\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
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\nresearch found that enterprises are more mature in strategy and data
\ndimensions, with 53 percent having achieved buy-in and alignment amongst key
\nstakeholders regarding analytics initiatives, but only 41 percent having established
\npolicies and practices to ensure data integrity. A large majority, however,
\nlack the necessary workforce (80 percent) and process capabilities (88 percent),
\nwhich are the most crucial for driving data-driven transformation at scale<\/i>
\nand deriving long-term business value. <\/span><\/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 enterprise currently facing internal requests to
\ninclude 26 new data sources and 30 new data types per month.<\/span><\/p>\n
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\nbusiness environment, enterprises in Hong Kong have expressed the need to
\ninvest in mission-critical business areas. In addition, with the evolving needs
\nof customers, enterprises must innovate their business models to meet new needs,”
\nsaid Julian
\nQuinn, Senior Vice President, APJ, Alteryx. “The findings show a consensus towards the critical role that analytics
\nplays in driving business performance. Yet, organizations are grappling with multiple
\nchallenges in using data analytics, uncovering the need to improve workforce
\nand process analytics capabilities. To deliver breakthrough outcomes, organizations
\nneed to automate processes and democratize data analytics, elevating
\nworkforce’s ability to gain on-demand insights for thriving in their roles.”<\/p>\n
\n
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\ndata generation, many organizations in Hong Kong 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, in particular, is a low-code solution that has emerged as a way
\nforward to remove friction, enabling analytics capabilities to scale quickly across
\nthe entire organization.”<\/p>\n
\n
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\n
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\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
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\n
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\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
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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
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\n
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\nAutomation in Asia Pacific Report, please click here<\/a>.\u00a0 <\/p>\n
\n
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\nIDC’s APA Assessment Tool, please click here<\/a>.<\/p>\n
\n
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\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
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