Move from Business Intelligence to Advanced Analytics by Integrating IBM SPSS with Cognos TM1
 

Move from Business Intelligence to Advanced Analytics by Integrating IBM SPSS with Cognos TM1

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Standard business intelligence reports and dashboards are effective tools to describe the state of your organization or department. However, there are many questions that these tools cannot address, ...

Standard business intelligence reports and dashboards are effective tools to describe the state of your organization or department. However, there are many questions that these tools cannot address, such as:

Why is this happening?

How will my organization be impacted if these trends continue?

What will happen next?

How can we change the outcome of this situation?

Advanced analytics tools are necessary to accurately and quickly address these questions through statistical analysis, forecasting, predictive modeling and intelligent optimization. By integrating advanced analytics solutions with existing business intelligence platforms, your organization will be better positioned to extract actionable insight from your data to gain a true competitive advantage.

Learn how your organization can extend its business intelligence investments in IBM Cognos TM1 by integrating with IBM's leading advanced analytics platform, SPSS. We'll discuss the capabilities of TM1 and SPSS, integration methodologies and strategies, and demo an integrated analytics environment.

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Move from Business Intelligence to Advanced Analytics by Integrating IBM SPSS with Cognos TM1 Move from Business Intelligence to Advanced Analytics by Integrating IBM SPSS with Cognos TM1 Presentation Transcript

  • Move from Business Intelligence to Advanced Analytics by Integrating IBM SPSS with Cognos TM1 facebook.com/perficient twitter.com/Perficientlinkedin.com/company/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. About Perficient
  • • Founded in 1997 • Public, NASDAQ: PRFT • 2013 revenue ~$373 million • Major market locations throughout North America • Atlanta, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Dallas, Denver, Detroit, Fairfax, Houston, Indianapolis, Los Angeles, Minneapolis, New Orleans, New York City, Northern California, Philadelphia, Southern California, St. Louis, Toronto and Washington, D.C. • Global delivery centers in China, Europe and India • >2,100 colleagues • Dedicated solution practices • ~90% repeat business rate • Alliance partnerships with major technology vendors • Multiple vendor/industry technology and growth awards Perficient Profile
  • BUSINESS SOLUTIONS Business Intelligence Business Process Management Customer Experience and CRM Enterprise Performance Management Enterprise Resource Planning Experience Design (XD) Management Consulting TECHNOLOGY SOLUTIONS Business Integration/SOA Cloud Services Commerce Content Management Custom Application Development Education Information Management Mobile Platforms Platform Integration Portal & Social Our Solutions Expertise
  • Tony Firmani Director of Advanced Analytics Tony is an experienced consultant and advanced analytics practice leader at Perficient, with more than 17 years developing and implementing solutions across a variety of industries, including financial services, marketing, healthcare, insurance and pharmaceuticals. Jim Miller National FPM Practice Leader Jim leads Perficient's national financial performance management practice with more than 30 years of extensive applications and system design and development experience. Denver Stokes Technical Consultant Denver is a technical consultant and data analyst at Perficient, providing data mining, predictive analytics and financial performance management consulting services. Thought Leaders
  • • From BI to Advanced Analytics • Departmental Solutions • Finance Office Pain Points • Which Processes to Improve • IBM TM1 + IBM SPSS • IBM’s Forecasting Methodology • Forecasting + Advanced Analytics • Demo / Why Perficient ? Agenda
  • Data Mining, Forecasting & Optimization Does this new customer fit the profile of a high value patron? Which offer is most likely to get a response per segment? What are my long & short-term forecasts for staffing & peak weekend traffic? ROI Moving from Business Intelligence to Analytics
  • Which Departments Need Forecasting? • Compensation Management • Sales Performance Management • Staffing Optimization • Training Certification • Intranet Employee Portal • Retail Sales Analysis • Retail Assortment Planning • New Product Planning • Customer Profitability • Customer Churn Analysis • Financial Consolidations • Financial Reporting • Planning • Driver Based Budgeting • Rolling and Predictive Forecasts • Risk Analysis • Demand Analysis • Inventory Optimization • Logistics Planning • Cost Planning • Product Profitability • Production Planning Financial Operations Workforce Customer Complete Management of Your Business Long-term Sales & Operational Planning Ad Hoc Analysis & Formatted Reporting
  • Today’s Finance Technology Pain Points • Fact: Finance teams are stretching the limits of spreadsheet capacity • Fact: Too much time spent collecting and scrubbing data • Fact: Data is not transparent, leading to distrust in forecasts/reports • Fact: Data governance regulations are tightening, and spreadsheets cannot support this trend – finance teams are feeling the pressure to answer • Fact: Reporting requirements are changing on a monthly basis, and spreadsheets are not easily adaptable • Fact: Finance and IT teams have different agendas, but ultimately need to work together to build efficiency What else can we add to this list?
  • Pursuit of Internal Excellence: Which Processes Can Improve? • Transactional Accounting, Close & Consolidations • Budgeting & Forecasting • Managerial Reporting & Analysis Step 1 Step 3 Step 5Step 2 Step 4 Identify & quantify improvement opportunities utilizing benchmarks Define key metrics and calculate baseline values Analysis & review to identify the operational approach to achieving improvement targets Technical enablement of data driven & process driven solutions Monitor & post mortem review to feed the continous improvement cycle
  • Identify Target Metrics with Adaptive Roadmap Measure the function • What is your total finance function cost as a % of revenue? • Number of finance function FTE’s per billion of revenue? • Average cycle time in days to complete the annual budgeting cycle? • Average cycle time in days to complete the monthly consolidated financial statements? Assess your strengths & weaknesses • Analysis? (financial, operational or both?) • Systems? • Business Process? • Personnel? …then create time by pursuing efficiency BUT don’t wait on the “value add” until all the efficiency projects are done. Start changing processes and redefining the organization in a deliberate path of incremental steps.
  • Product Suite – IBM TM1 + IBM SPSS Extend from a finite list of TM1 scenarios to optimize to the best forecast with SPSS Advanced Analytics
  • Fusion of Planning, Analysis & Reporting • Planning, budgeting & forecasting • Managed planning (workflow & approval) • Free form planning • Sophisticated data spreading input methods • ‘What if’ analysis & modeling • Personal scenarios/sandboxes • Interactively test new business assumptions • Flexible and intuitive modeling experience • Easily create simulations • Reporting • Excel, desktop, and web-based reporting Variety of User Interfaces • TM1 Application Portal and Workflow • Cognos 10 • Excel • Performance Modeler • Cognos Insight • TM1 Web IBM Cognos TM1 for Planning and Analysis
  • IBM SPSS Modeler Time Series Component Repurpose the majority of your time from data management to analytics
  • IBM’s Unique Methodology: Temporal Causal Modeling Proprietary algorithms developed by IBM Watson Research Center, that discover causal relationships between drivers and KPIs, and answer the following: Which metrics have the most impact on my performance? • Use historical data to discover those metrics that have the strongest impact on selected business objectives, directly or indirectly • Use historical data to evaluate the strength of user-specified metric relationships How do these metrics interact with each other? • Use historical data to discover significant causal relationships among metrics: time lag between metrics, strength, degrees of separation. What is driving my performance? • Use identified causal relationships to automatically discover the metric values driving observed performance If nothing else changes, what will my future performance be? • Use causal-temporal model to project future performance based on historical data Temporal Causal Modeling • Discover causal relationships • Assess lead-lag indicators • Examine strength of metrics relationships and degrees of separation • Anticipate the momentum of metrics drivers Predictive Analytics
  • Forecasting / Advance Analytics Practice Experience in manufacturing, banking, insurance, telco and other vertical industries. Consulting recommendations and production methods provided in the following industries: Forecasting • Forward price curves in energy industry • Inventory, demand and defect rates for manufacturing • Sales, revenue, foot traffic for retail • Advertising spend and flight plans for retail, online • Customer attrition rates for telco • Profitability, losses, liquidity, risk for insurance & banking Financial Performance • Global healthcare & utilities • Global risk management • Global digital services • Major specialty retail/web retailer • Global pharmaceutical • Global legal services • Major specialty retailer • Research & government research • Automobile & wholesale distribution • Commercial information provider • Medical supplier
  • Technologies in action
  • Advanced Analytics Jumpstart Define deliverables and outputs, scope work engagement and mentor • KPI: Reduce Average Handling Time • Problem: I can’t get to first call resolution on each call • Decision: When should I not push to FCR THIS call? • Who: Analyst, SME, workforce management team, customer • What is the goal? Identify outlier calls • What are the output considerations? Management Portals / Dashboards Advanced Analytics Practice
  • Recap: Why Use Perficient? Leading IT consulting firm serving clients throughout North America • Proven IBM BA implementer for over 15 years; Proven track record • We stand by our commitments • We have a solid base of reference accounts • We can be flexible and creative on how we structure our deals • Billing flexibility • Phased approach • Proven project methodology with our user-centered approach • Domain expertise in multiple industries
  • Thank You! For more information contact: Joe Sarno joseph.sarno@perficient.com www.facebook.com/perficient www.perficient.com www.twitter.com/perficient