{"id":2573,"date":"2013-03-12T09:00:00","date_gmt":"2013-03-12T16:00:00","guid":{"rendered":"https:\/\/blogs.technet.microsoft.com\/dataplatforminsider\/2013\/03\/12\/pass-bac-preview-series-looking-for-big-data-value-in-all-the-wrong-places\/"},"modified":"2024-01-22T22:49:21","modified_gmt":"2024-01-23T06:49:21","slug":"pass-bac-preview-series-looking-for-big-data-value-in-all-the-wrong-places","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/2013\/03\/12\/pass-bac-preview-series-looking-for-big-data-value-in-all-the-wrong-places\/","title":{"rendered":"PASS BAC Preview Series: Looking for Big Data Value in All the Wrong Places"},"content":{"rendered":"

In this guest post from Hyoun Park, PASS Business Analytics Conference (PASS BAC) speaker, we get an interesting twist on the challenge of Big Data and how to stop looking for solutions in all the wrong ways and all the wrong places.<\/em>\u00a0You can learn more from Hyoun at PASS BAC in his session, <\/em>Building the Business Case for Big Data<\/em>.<\/em>\u00a0\u00a0 <\/span><\/p>\n

FEATURED PASS BUSINESS ANALYTICS CONFERENCE SPEAKER:\u00a0 Hyoun Park<\/strong><\/span><\/p>\n

\"Hyoun_Park\"Hyoun Park oversees primary investigative research on big data, business analytics, social software, and enterprise mobility. He combines his telco, sabermetrics, social networking, and expense management backgrounds to describe key value propositions associated with analytics and emerging business technologies. He has keynoted multiple business user and industry events and has served as an advisor for companies seeking insight on upcoming market trends.<\/p><\/blockquote>\n

When Johnny Lee wrote his country classic, <\/span>Looking for Love (In All The Wrong Places)<\/span><\/a>, he wrote with such heart, such pain, and such meaning that you just knew that he was writing about the challenge of creating a business plan for Big Data.\u00a0 For those of you who know the song, you might have missed this detail because you were so caught up in the story.\u00a0 Or perhaps maybe the soothing melody just took you away.\u00a0 But in any case, even a cursory understanding of the lyrics makes it clear that this song was meant to provide guidance to the enterprise analysts and project managers trying to figure out why Big Data is going to help them out.<\/span><\/p>\n

Just think of the first line, “Well, I spent a lifetime looking for you\/Singles bars and good time lovers were never true” <\/i><\/i><\/span><\/p>\n

Who hasn’t spent a lifetime thinking about how data could help their organization?\u00a0 But the challenges of integrating Big Data into sales, marketing, service, product development, HR, operations, and manufacturing were just too challenging.\u00a0 You could never settle on the correct solution.\u00a0 And when you chose that simple SaaS solution for a one-time need, it never quite worked out the way you expected. <\/span><\/p>\n

If only there were a roadmap for figuring out how and where to begin in a cost-effective manner.\u00a0 And a way to prioritize how to set a realistic business goal for analytics.\u00a0 And it didn’t take a lifetime to find…<\/span><\/p>\n

“Playin’ a fool’s game hoping to win\/And telling those sweet lies and losing again”<\/span><\/i><\/p>\n

Amen to that.\u00a0 How many promises were analytics supposed to solve?\u00a0 When these analyst firms start throwing around claims like “<\/span>Analytics pays back $10.66 for every dollar spent<\/span><\/a>,” people start to think that kind of return is possible and expected.\u00a0 (OK, I may be guilty for that last statistic.)<\/span><\/p>\n

But how do you get to that kind of return?\u00a0 How do you play the game of analytics so that this is a realistic business return and not just a sweet lie you tell to your CIO before finding that those returns aren’t happening after all?<\/span><\/p>\n

“I was looking for love in all the wrong places\/Looking for love in too many faces\/Searching their eyes looking for traces of\/What I’m dreaming of”<\/span><\/i><\/p>\n

The vendor landscape for Big Data analytics and data management is enormous.\u00a0 There are a few short lists and short cuts for general analytics deployments, but there are so many specialized tools and new vendors that it is hard to keep up with them.\u00a0 It would be a lot easier if there was a simple way to weed out the contenders from the pretenders without pulling out a full-fledged RfX.<\/span><\/p>\n

“Hoping to find a friend and a lover\/I’ll bless the day I discover\/another heart ,looking for love.”<\/i><\/i><\/span><\/p>\n

Somewhere out there is that One True Pairing for your company: Big Data that has the functionality that the IT office wants, the usability that the line-of-business wants, the cost structure that the CFO wants, the support that service and help desk personnel want; and the agility and scalability buzzwords that your executives keep going off about.\u00a0 Should all of these be equally as important?\u00a0 Or are there certain areas where you can skimp on your analytics investment so that you can focus on the areas that truly matter?<\/span><\/p>\n

“And I was alone then, no love in site\/I did everything I could to get me through the night\/I don’t know where it started or where it might end\/I’d turn to a stranger just like a friend.”<\/span><\/i><\/p>\n

When you’re tasked with building the business case, it sure feels lonely.\u00a0 And you do go out to anyone in Project Management or IT land who has done this before to get some advice.\u00a0 Do I use TCO or ROI and how do I do that without leaving anything out?\u00a0 Am I just looking for some basic business requirements?\u00a0 Will I ever finish this business case or are we just going to end up taking a blind leap into building a data warehouse or implementing a Big Data appliance?\u00a0 Is this going to end up being an all-nighter to figure all this out?\u00a0 Is SQL Server enough or is it time for Hadoop?<\/span><\/p>\n

“Then you came a-knocking at my heart’s door\/You’re everything I been looking for”<\/span><\/i><\/p>\n

That’s the goal, isn’t it?\u00a0 Unfortunately, it’s probably not going to be as easy as having your analytics solution and all of the value propositions fall in your lap.\u00a0 But there are a number of basic findings that can help you to estimate some of the value propositions you’re looking for, such as the keys to <\/span>maximizing potential ROI<\/span><\/a>, the <\/span>best way to measure indirect benefits<\/span><\/a>, the <\/span>four stages of the Analytic Enterprise<\/span><\/a>, the <\/span>five key components of analytic benefits<\/span><\/a> that Nucleus has identified through over 60 case studies, and attributes that provided Big Data users with an <\/span>average incremental 241 percent ROI <\/span><\/a>over their existing analytics efforts.<\/span><\/p>\n

If, like Johnny Lee, you’ve been trying to build the business case for Big Data in all the wrong ways and in all the wrong places, you should stop by my session at the<\/span> PASS Business Analytics Conference on April 11th<\/span> so I can help you find everything you’ve been looking for in a Big Data business case.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

In this guest post from Hyoun Park, PASS Business Analytics Conference (PASS BAC) speaker, we get an interesting twist on the challenge of Big Data and how to stop looking for solutions in all the wrong ways and all the wrong places.<\/p>\n","protected":false},"author":1457,"featured_media":46828,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ep_exclude_from_search":false,"_classifai_error":"","_classifai_text_to_speech_error":"","footnotes":""},"post_tag":[],"product":[],"content-type":[2445],"topic":[],"coauthors":[2487],"class_list":["post-2573","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","content-type-thought-leadership"],"yoast_head":"\nPASS BAC Preview Series: Looking for Big Data Value in All the Wrong Places - Microsoft SQL Server Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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