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Agile BI: How to Deliver More Value in Less Time
 

Agile BI: How to Deliver More Value in Less Time

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Learn how to: ...

Learn how to:
Construct a BI and analytical environment that provides the critical functionality that enables your customers to provide timely answers, supporting modern agile business

Leverage agile delivery concepts to deliver value in days rather than in months

Build a support organization that enables your users to create increased value from your company’s information assets

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    Agile BI: How to Deliver More Value in Less Time Agile BI: How to Deliver More Value in Less Time Presentation Transcript

    • Agile BI: How to Deliver More Value Faster 1
    • About Perficient Perficient is a leading information technology consulting firm serving clients throughout North America. We help clients implement business-driven technology solutions that integrate business processes, improve worker productivity, increase customer loyalty and create a more agile enterprise to better respond to new business opportunities. 2
    • Perficient Profile • Founded in 1997 • Public, NASDAQ: PRFT • 2012 revenue $327 million • Major market locations throughout North America • Atlanta, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Dallas, Denver, Detroit, Fairfax, Houston, Indianapolis, Los Angeles, Minneapolis, New York City, Northern California, Philadelphia, Southern California, St. Louis, Toronto and Washington, D.C. • Global delivery centers in China, Europe and India • ~2,000 colleagues • Dedicated solution practices • ~85% repeat business rate • Alliance partnerships with major technology vendors • Multiple vendor/industry technology and growth awards 3
    • Our Solutions Expertise Business Solutions Technology Solutions • • • • • • • • • • • • • • • • • Business Intelligence Business Process Management Customer Experience and CRM Enterprise Performance Management Enterprise Resource Planning Experience Design (XD) Management Consulting Business Integration/SOA Cloud Services Commerce Content Management Custom Application Development Education Information Management Mobile Platforms Platform Integration Portal & Social 4
    • Our Speaker Bill Busch Sr. Solutions Architect, Enterprise Information Solutions, Perficient • • • • Leads Perficient's enterprise data practice Specializes in business-enabling BI solutions that enable the agile enterprise Responsible for executive data strategy, roadmap development, and the delivery of high-impact solutions that enable organizations to leverage enterprise data Bill has over 15 years of experience in executive leadership, business intelligence, data warehousing, data governance, master data management, information/data architecture, and analytics 5
    • Objectives • Reviewing challenges with BI as usual • Defining Agile BI • Agile BI attributes • Wrap-up • Question and answer 6
    • Challenges with BI As Usual • Systems tend to be hard to change o Significant pre-planning o Investment in change is high o Design and build processes are complex • Business users are reliant on IT • IT resources are limited, but expectations are growing o o o o o o More data sources Bigger data More complex data Increased data velocity More business units to service Quicker time-to-value o Add new data to the BI system o New drill paths o Creating content (think dashboards and reports) o Publishing content usually requires IT interaction 7
    • What is Agile Business Intelligence? IT Perspective The utilization of agile SDLC processes to deliver BI content to business users Business Perspective The ability to leverage information to make better decisions at the speed of business “Nothing is more agile than a business user creating their own report.” Claudia Imhoff 8
    • Agile BI System Attributes Easily changed Usable and extensible Agile Business Intelligence Systems Jointly governed 9
    • Agile BI System Attributes Easily changed Usable and extensible Agile Business Intelligence Systems Jointly governed 10
    • Easily Changed Systems • Layered architecture • “Early” access to data • Architecture to support realities of new breed of business-enabled tools o Data discovery and analytical tools • Minimize ETL and modeling in early iterations • Architecture aligned delivery process 11
    • Typical Layered Agile BI Architecture Metadata Data Discovery/ Visualization Advanced Analytics BI/OLAP/Reporting / Dashboards Performance Management Data Access Services Product Location Source Systems Customer ……… Master Data Table 1 Table 2 ERP Table 1 Table 2 . . . Table n . . . Table n Text, Files Down Stream Data Feeds Files/ Unstructured Data Unstructured Data Data Pool Extraction & Loading Raw Data Standardized Data Data Integration (Views, ETL, Stored Proc) Data Warehouse (Views Where Possible) Data Mart (Views) 12
    • Data Pool Considerations • Primary access to minimally processed data o • Modeling is not really required at this point, however, business metadata collection is required. Encourage power users to leverage the data utilizing a meta-data centric data discovery tool o o • Excellent source of requirements Helps prioritize what is truly important to the business Define standard decision trees for common architectural decisions (Think cookie cutter) o Focus minimizing the analysis required for moving move of data to data pool o Storage options, Like compression, partitioning, maintaining raw data o Hadoop FS vs. Traditional DB TOT_HRS RT_D_H EXT_CST 288 225 64800 440 165 72600 480 195 93600 480 145 69600 TOT_HRS RT_D_H EXT_CST 288 225 64800 440 165 72600 480 195 93600 480 145 69600 13
    • Iterate on Data Management  Certify data, establish complete meta data including full source to target lineage  Enhance data in Data Pool by standardizing values to common business values & master data  Model new data  Move data as is to Data Pool  Inventory data, establish known business rules and lineage to immediate source  Publish data for business content creator/ power users in DD tools  Incremental updates (no more than daily)  Move to more frequent updates  Enhance data with business rules for data substitution and adequacy  Integrate like facts  Publish integrated model  Leverage enterprise reporting and dashboards (IT developed)  Publish data in DD tools  Implement robust data governance  Develop first aggregates  Start initial data stewardship  Establish ownership at department level Iteration 1 Iteration 2 Iteration 3 14
    • Example Build-Out Mobile Access Data Discovery Data Access Views Table 1 Table 2 Social Data . . . ERP Table n Operational File System Unstructured Data Source Systems Extraction & Loading Data Pool 15
    • Example Build-Out Portal and Mobile Access Data Discovery Data Access Views Customer Sales Hierarchy Calendar Geography Product Common Tables Table 1 Table 2 Social Data . . . Master Data Hub ERP Table n Operational File System Unstructured Data Source Systems Extraction & Loading Data Pool Integration Layer (Stored Proc and Views) 16
    • Example Build-Out Portal and Mobile Access Data Discovery | Analytical Tools | Traditional BI Data Access Views Customer Sales Hierarchy Calendar Geography Product Common Tables Table 1 Table 2 Social Data . . . Master Data Hub ERP Table n Operational File System Data Warehouse/ Data Marts Unstructured Data Source Systems Extraction & Loading Data Pool Integration Layer (Stored Proc and Views) 17
    • Agile BI System Attributes Usable and extensible Easily changed Agile Business Intelligence Systems Jointly governed 18
    • Usable and Extensible Systems Business Enablement Provided by Non-Traditional BI Tools Repeat as Necessary Quantify The Problem Determine/ Modify Strategy Find & Locate Information Source & Prepare Information Construct & Perform Analysis Format / Interpret Analysis Determine Monitoring Strategy Find & Locate Information Source & Prepare Information Create and Publish BI Content Determine Ongoing Need & Value Share Conclusions Traditional BI IT Creates Enterprise BI Content Traditional BI 19
    • Traditional BI and Data Discovery Traditional Business Intelligence • • Data Discovery Drives Need for • Proven Answers to Known Questions High-Value Reporting • Fast Answers To New Questions Early/Short-term Reporting Specifies new KPIs and BI Content for 20
    • Agile BI System Attributes Easily changed Usable and extensible Agile Business Intelligence Systems Jointly governed 21
    • Governing the Agile BI Environment • Both IT and Business Users are Providing Value in an Agile BI Environment o Must share governance o Must share responsibility • Develop two-tier support system – Content creators must support end-users • Data Quality is a business decision – define options and let business choose their investment level • SDLC’s need to be tailored to enable BI systems to deliver value quickly o Push as much into BAU processes o Factory type delivery for data o Agile processes for BI content • Establish a BI/Analytics COE focused on driving adoption/usage and data access • Develop a BI scorecard of what is important to the business 22
    • Wrapping Up • Well managed BI environments that enable business agility, just do not happen! • They require an overall strategic approach that coordinates people process, and technology. • Develop your BI strategy with the overall vision to enable Agile BI • Remain business focused let the business choose what they want to fund 23
    • Questions? 24
    • Daily unique insights on content management, user experience, portals and other enterprise information technology solutions across a variety of industries. Perficient.com/SocialMedia Facebook.com/Perficient Twitter.com/Perficient http://blogs.perficient.com/bus inessintelligence/ 25
    • Thank you for your time and attention today. Please visit us at Perficient.com