{"id":133647,"date":"2018-12-27T12:20:37","date_gmt":"2018-12-27T06:50:37","guid":{"rendered":"https:\/\/staging-imarticus.kinsta.cloud\/?p=133647"},"modified":"2020-07-08T11:49:32","modified_gmt":"2020-07-08T11:49:32","slug":"the-past-present-and-future-of-business-analysis","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/the-past-present-and-future-of-business-analysis\/","title":{"rendered":"The Past, Present and Future of Business analysis"},"content":{"rendered":"\n

<\/p>\n\n\n

Over the\nyears technology has bridged many gaps. These gaps existed between processes,\nskills and resources. However, an interesting turn of events happened with the\nera of Business analysis. This brought a time where data became the real asset\nand insights, disruptions and innovations followed.  Not only this, data\nanalysis helped solving recurrent business problems, something quite\nunimaginable in the times of manual file-based processes.<\/p>\n\n\n

How did it all start?<\/p>\n\n\n

Back in\nthe days when everything was manually recorded on paper within hard bound\nfiles, technology gave the world a better way to manage processes with IT\nsystems. Once these systems were in place, everyone started creating a lot of\ndata.  Only after a few years of accumulation of this data did organisations\nthought about using this data for generating value. This is where business\nanalysis took precedence. There was an obvious market need for innovation and\norganisations realised that they need to be able to analyse this data and draw\ninsights.   <\/p>\n\n\n

What does the present look like?<\/strong><\/p>\n\n\n

Today business analysis courses has evolved as an amalgamation of domains and analytical skills. Domain is one of the key ingredients for identifying patterns because without an understanding of the business it is simply not quite possible to draw any kind of conclusions or even understand the data. Several analytical techniques have become common. Some include MOST (Mission, Objectives, Strategies and Tactics), PESTLE (Political, Economic, Sociological, Technological, Legal and Environmental), SWOT (Strengths, Weaknesses, Opportunities and Threats), MOSCOW (Must or Should, Could or Would) and Six Thinking Hats.<\/p>\n\n\n

Today,\ndata talks well with folks with a keen understanding of domain and a good grasp\nof implementing analytical techniques. Their key challenges are ensuring that\ndata is relevant and integrated. Once solved, organisations can harness the\ndata and release innovative solutions in the market. Over the past few years,\nthe market has witnessed ideas ranging from digitised health platforms to big\ndata stylist services \u2013 all born from data analysis. And this is just the tip\nof the iceberg!<\/p>\n\n\n

What does the future hold?<\/strong><\/p>\n\n\n

With\nautomation and agile becoming a norm, there is an obvious push towards\ncomplexity. This means a major chunk of business analysis tasks that require\nhuman intervention today will be automated. While this is great news from a\nbusiness perspective because it will bring reduced errors, lower cost of\nmaintenance and less time to insights. The other end of the impact would be on\nutilisation of the insights resulted from data analysis. This would most likely\nbe the next sweet spot where a keen understanding of business strategy would\ncome into play to make real business decisions.<\/p>\n\n\n

Business\nanalysis that we know as of today is a much-advanced version of what it\ninitially was scoped to deliver. Today, business analysis attempts to solve the\ndata challenge by identifying the right data and analysing it to solve business\nproblems. While the future looks complex, we can expect some real innovation\nand market disruptions from business analysis. <\/p>\n","protected":false},"excerpt":{"rendered":"

Over the years technology has bridged many gaps. These gaps existed between processes, skills and resources. However, an interesting turn...<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[24],"tags":[836,842],"pages":[],"coe":[],"class_list":{"0":"post-133647","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-technology","7":"tag-agile-business-analysis","8":"tag-change-management"},"acf":[],"yoast_head":"\nThe Past, Present and Future of Business analysis<\/title>\n<meta name=\"description\" content=\"An interesting turn of events happened with the era of Business analysis. 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