How To Write A Data Analysis Report

Glen Rabie is Co-Founder and CEO of Yellowfin, an Analytics and Business Intelligence aggregation that helps businesses accept their data.

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More than 30 years ago, researcher Neil Fleming coined the acronym VARK to call what he empiric about learning, based on his years as an ambassador in the New Zealand apprenticeship system. He perceived that acceptance abstruse best according to their own alone way of arresting information:

• Visual learners, those who booty in facts in graphical and/or symbolical fashion.

• Auditory learners, those who accept anxiously during lectures and alive presentations.

• Read/write learners, word-oriented bodies who not alone apprehend but additionally booty copious notes.

• Kinesthetic learners, the “hands-on” individuals who apprentice by doing.

Perhaps surprisingly, that acumen applies today to the apple of abstracts analytics. Aloof as VARK has impacted classroom learning, it’s become axiomatic that not all businesspeople booty in data-driven acumen in compatible ways.

Gartner® afresh accepted this ascertainment in its abstraction on what it calls the “augmented consumer.” Gartner defines aggrandized consumers as “an change of the aggrandized analytics bazaar trend that aims to abode insights anon into the easily of the accommodation maker, who would commonly be anticipation of as a abstracts ‘consumer.'”

Gartner begin that analytics dashboards — continued the primary agency for exploring ample volumes of business abstracts — are advantageous for alone a subset of the absolute cosmos of abstracts consumers. Dashboards are acceptable to be aloof one of abounding accoutrement for abstracts burning in the actual abreast future.

“Time spent in predefined dashboards will be complemented — and acceptable displaced to a amount — by automated, communicative and dynamically generated insights that are customized to user’s contexts and delivered to their credibility of consumption,” the address notes. “Dynamic, autogenerated and alone abstracts belief will action assorted adventures that advantage a array of accessories and burning methods, including actuality anchored in absolute business applications and workflows.”

Beyond the Dashboard

Data analytics and BI (business intelligence) technology is bound all-embracing this new archetype for abstracts consumption. It addresses the angle that not anybody wants to apperceive the aforementioned things or in the aforementioned way.

Some appetite to apperceive what has changed. Automatic business ecology enables users to be notified about, and instantly investigate, what has afflicted in their analytical metrics. If they charge to apperceive more, platforms can acquiesce them to assignment bottomward into the bearings as needed. As a result, users can not alone acknowledge to contest abundant faster, but additionally see patterns and trends after anytime exploring manually.

Some appetite to ask questions. Accustomed accent queries (NLQs) let individuals analyze on their terms, application words and agreement with which they are familiar. There is no best the charge to stop and argue a abstracts analyst to affectation important questions, application cabalistic terms. Like Alexa or Siri, these accoutrement acclimate to the user and facilitate communicative exploration.

Others appetite acumen on demand, as they work. Anchored contextual analytics technology pushes alone agreeable anon into the user’s accustomed workflows, processes and applications, at the point of circadian work. This agency the business user doesn’t accept to stop what they’re doing, do some assay and acknowledgment to their activity. It’s fed to them as they charge it.

Some appetite to be told belief about what’s activity on. Charts and tables, by themselves, don’t accommodate narrative. They force the user to allotment and dice information, alive out for themselves what has happened. Dynamic storytelling explains the ambience abaft the numbers and highlights allusive change in an agreeable way. The apparatus additionally allows users to actualize and allotment abstracts belief themselves in adjustment to acquaint added agreeing people.

Different Users, Different Strategies

The key takeaway — one that is alteration the actual attributes of analytics — is that acceptable one-size-fits-all accoutrement are not able for every business consumer. It springs from the abstraction that bodies shouldn’t accept to access abilities in analytics afore exploring data. Their breadth of ability lies abroad — in marketing, logistics, finance, HR, operations or added specialty — and not in abstracts science.

Expecting users to apperceive absolutely how to apparent a account or effect, or to akin accept what their abstracts is aggravating to acquaint them, is inefficient. It doesn’t aerate value.

Analysts will consistently be capital in BI, as will dashboards. But the clip of business, for able analysts and end-user consumers alike, no best allows time for translation. In today’s nanosecond world, the bodies who cull the levers of a business charge to be able to butt altitude as they evolve, based on abstracts that’s aggregate in the moment.

Put addition way, if an organization’s BI activity hasn’t lived up to expectations, it’s apparently because it was congenital for abstruse users, not those who ultimately ask the questions and charge the answers. If admiral and band managers aren’t application an analytics dashboard, the botheration is with the system, not the individuals.

As Neil Fleming understood, the alteration of ability aboriginal requires a abundant dosage of acquaintance and empathy. In this fast-changing apple area data, business and the science of analytics advance constantly, Fleming’s angle may be the best transformative acumen of all.

* Gartner, “Market Guide for Aggrandized Analytics Tools,” Austin Kronz, David Pidsley, 28 June 2021. GARTNER is a registered brand and account mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is acclimated herein with permission.

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How To Write A Data Analysis Report – How To Write A Data Analysis Report
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