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Chances are, your role in IT has been changing as the needs of the business have changed. But the forces outside your company are now driving that change at an ever increasing pace. This environment means that you have a great opportunity to partner with your business colleagues to truly innovate rather than just do "break/fix". Understanding what business intelligence is and how it can help your business is a great place to start. The world of business intelligence (BI) goes beyond what most think of as just "reporting". It has nuances and complexities that require a combination of skills and people. For example, are you ready to help your company understand the difference between analytical reporting and prescriptive reporting? What about "Big Data" and Data Mining? As a SharePoint Professional, you want to be aware of what is possible.
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John WhiteUnlimitedVizAugust 30, 2014
Helping the business make sense of Business Intelligence
[email protected]@diverdown1964
John WhiteCTO/Co-Founder of UnlimitedVizSharePoint Server MVP, SQL Server v-TS
[email protected]://whitepages.unlimitedviz.com@diverdown1964
Agenda The Challenge for IT BI Fundamentals Getting Started Think BI
The Challenge for IT
IT Commoditization
Better understanding breeds greater repeatability Greater repeatability requires less skill Outsourcing > co-location > VM Hosting >
IAAS/PAAS/SAAS Cloud Computing
“Where there’s mystery, there’s margin”
- Ray Noorda, founder of Novell
Growth in the cloud market is outrunning prior forecasts, according to Forrester Research Inc. (FORR), which projects a rise from $58 billion last year to $72 billion this year. The market is on course to be about 20 percent bigger by 2020 than estimated earlier, Forrester said in a report to be published today.Cloud computing has reached “hypergrowth” as businesses replace standard licensed software from companies such as Oracle Corp., SAP AG and Microsoft Corp.
Bloomberg, April 2014
"We estimate that for every dollar spent on [Amazon Web Services], there is at least $3 to $4 not spent on traditional IT, and this ratio will likely expand further. In other words, AWS reaching $10 billion in revenues by 2016 translates into at least $30 to $40 billion lost from the traditional IT market."
Baird Equity Research Technology, April 2013
BI can’t be commoditized BI technologies are the tools Data is the raw material Insight is the product Many have tried
BI Fundamentals
What is BI? Reporting? Cubes? Big Data? Data Science
Business intelligence (BI) is the transformation of raw data into meaningful and useful information for business analysis purposes. ….BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.
- Wikipedia
A Series of fundamentals Useful data extraction Temporal Context Data description (knowledge extraction) Correct tooling
Useful data extraction In Place reporting Real Time vs Real Enough time Data Warehousing and ETL CRISP - Cross Industry standard for data mining
Temporal context Past (reporting) Present (monitoring) Future (predictive analytics)
Data descriptionAutomatic data extractionStructured vs unstructured
Manual metadata input Data mashupsModelling
Correct tooling Operational/Prescriptive Reporting Analytical Reporting Dashboarding Predictive analytics Pattern Matching
Getting Started
Know the business Business knows the data You know the technology (and some data)
Business user data tool of choice – Excel IT user tool of choice – SQL Server
Business gets frustrated, leads to governance violations Need to come together for value PowerPivot a middle ground
Moving ahead Gather your data Work with familiar tools Go for quick wins and build on them Excel/PowerPivot is a great place to start Keep the goals clear
Requirements gathering
Minimum Viable Product MVP
Define target
audience groups
Exclude less
important groups
Define use cases
Prioritize Use Cases
Translate into
requirements
Test with target
audience
Translate requirement
s into functionality
Draw wire frames
Test with target
audience
MVP definition
FundingTechnology
Source: JumpStartCTO - http://jumpstartcto.com/how-do-you-gather-and-prioritize-the-requirements-and-functionality-for-a-minimal-viable-product/
Data Availability
Think BI
Other “BI” data driven systems SharePoint search driven content Credit card fraud Google placed ads Cortana
Example – Document Relevance The Challenge
Production relevant documents The Solution
Explicit relevance Warehouse document metadata with SSIS Mashup with SQL Server Surface in SharePoint with SSRS
Example – Yammer analytics Social data is out there Social networking has value, but how much? Existing tools focus on vanity metrics
Easy to grab False sense of progress i.e. 30,000 new signups this month!
Nothing answered the real burning questions
Follow Dean Swann on YCN for more information
In Conclusion Tools can be commoditized, but not data Value is in insight, not tooling BI fundamentals are key – and not scary Know the tools The business is key Apply a BI focused approach to everything for continuous
value
