Slideshow transcript
Slide 1: MAIA Intelligence Welcomes you to Seminar on Business Intelligence Organised by CSI, Coimbatore Chapter December 21, 2007
Slide 2: Get One Single View 3 Blind Analyst & a Data warehouse
Slide 3: Gartner: Business Intelligence is #1 priority for CIOs
Slide 4: Today’s Business Pressures Accountability, Transparency Rapidly Changing Conditions • How do I comply with corporate • How can I accelerate my planning governance requirements? and decision cycles? • How can I ensure accurate, timely • How do I monitor conditions and reporting? take early corrective action? Plan & Sales Marketing Model Purchasing Manufacturing Execute Service Finance Report & Human Project Mgmt Resources Analyze Efficiency & Cost Control Ineffective Decision Support • How can I sustain / improve • How do I filter extraneous data profitability? and focus on relevant information? • How do I keep information • How can I access and rationalize current? disparate, fragmented data?
Slide 5: What Business Users want… • Runtime options when they get Business data • Accurate, Real-time information • Interactively touch & visualise information • Amend reports immediately • Data sanctity across team members • Anytime, anywhere access to information • Easily share information with others
Slide 6: 1KEY Differentiators… Traditional BI Operational BI with 1KEY Static Consumption of reports Dynamic & Active collaboration Pushing & presenting static reports Business users build their own to business users reports High-cost, luxury function of an Cost-effective solution organisation BI for the Elite few – specialised BI for everyone users Charting with static bar & pie charts Intuitive, dynamic & interactive data visualisation OLAP for analysis Innovative, less complex, alternatives for data analysis & ad hoc reporting
Slide 7: 1KEY Differentiators… Traditional BI Operational BI with 1KEY Complex, time-consuming Simple & easy Installation, installation, deployment, upgrade & deployment, upgrade & use use Pre-defined search parameters Dynamic or free-style searches & data exploration Structured data Broader set of data types supported - unstructured data, XML files, Excel files, RDBMS, DBMS etc. After-the-fact analysis due to data Real-time reporting for operational latency decision making Per user licensing policy Per server – unlimited usage licensing policy Separately packaged components Complete BI Suite on single platform
Slide 8: Today’s Reporting facts… • Limited standard reports in applications like ERP, CRM, SCM etc – Time consuming scripting for additional reports • Availability of only Static reports – No analysis possible • For analysis & intelligence, export to Excel – Chances of data corruption and data manipulation • Multiple Data sources – Single view not possible • Tactical & Strategic Business Intelligence for top management – After-the-fact reports and analysis • Adhoc and enhancement requests from business users – Productivity loss of IT resources Solution : Operational Business Intelligence & Reporting
Slide 10: enables Operational Business Intelligence
Slide 12: Reporting Compliance with 1KEY
Slide 13: Intelligent Predictive Interactions (Data Mining) Forecasting Fact-Based Actions (OLAP, Statistics) Analysis Are there any potential out-of-stock Performance Increasing Value situations region warehouse wise? Management (KPI, Guided Analytic) Reporting How is the business doing compared Slice/Dice to last year? Compared to plan? Ad-hoc Query, BI Tools Can I understand my gross margin return on space? Transactional Reporting How are my export and domestic sales doing Generational Step
Slide 14: 1KEY Operational BI Reporting tool - Value Proposition • Single Reporting Platform • High performance and scalability • High control with multiple levels of rights & securities • Flexible report formatting tool for business users • Ease of Query building for IT users • Visually stunning reports (View, Cube & Chart reports) • Local data analysis • Simple architecture • Mass Reporting • Affordable
Slide 15: About MAIA Intelligence • Indian champion in the Business Intelligence Software space • Technology driven Product development since 2003 • Focus on ‘Operational Business Intelligence’ • Mission: ‘To enhance customers investments in Application Software’ • Regional Partner Network across India • Dedicated Product Development, Delivery & Support team to enable customer satisfaction and referenceability • Customers like Pidilite, Asit C. Mehta, Lok Housing, Kodak, Thyocare…since August 2006
Slide 16: Thank You! Vikram Kole Head – Marketing vikram@maia-intelligence.com
Slide 17: CIO role in BI Decision Cycle MEASURE LEAD DELIVER ANTICIPATE ORGANISE STRATEGISE
Slide 18: "If We Build It, They Will Come”… Flaw indicators • Low usage of implemented BI • No internal Business sponsor / owner for BI Pro-active measures • Business User involvement from DAY 1 • Parameterize BI relevance, accuracy, consistency • Plan BI support for business strategy evolution • Engage in internal marketing of BI initiatives
Slide 19: Managers need to manipulate numbers… Flaw Indicators • Panic when number based reviews are due • Poorly defined or complex business metrics • Weak data accountability Pro-active Measures • Building BI framework using factual business cases • Propagate enterprise risks because of individual spreadsheet usage • Managing ‘hidden’ agendas of the dark horses
Slide 20: No Data Quality Problem… Flaw Indicators • Solve the data quality problem with a tool • Eg: Marketing campaign failed to launch • Non-usage of BI because of data sanctity doubts Pro-active Measures • Make Business Users understand ‘GIGO’ • Design processes and controls for data refinement • Implement processes for data audition & verification
Slide 21: Our Business Application vendor will deliver the Best solution… Flaw Indicators • Heavy investments in OLTP applications, so why invest further in BI applications? • “Use the OLTP vendors data analysis tools as the licenses are ‘free’” Pro-active Measures • Differentiate OLTP from OLAP with a Business Case • Propagate a BI strategy which can leverage the existing IT investments
Slide 22: Darwin was wrong: There's no need for BI to evolve… Flaw indicators • No single BI tool across departments • Working on “Solution simplicity, Problem Complexity” principle • Running multiple stand-alone small projects without identifying futuristic business value Pro-active Measures • Define an Enterprise-wide BI Strategy (OTS Strategy) • Continuous review during and after implementation
Slide 23: We can outsource… Flaw Indicators • BI is only report generation and can be outsourced • Emphasis given to optimizing BI project costs without correlating Business Value Proposition • Existing service vendors saying “They can do it all…” Pro-Active Measures • Identify the core elements which cannot be outsourced • Define a futuristic outsourcing strategy with an eye on Business Strategy evolution
Slide 24: "Just Give Me a Dashboard" Flaw Indicators • Business Users expecting a magic box to get short and simple data summarizations • Creating departmental goals which do not explode from the Enterprise goals • Insufficient thought & time spent in defining measurable parameters Pro-Active Measures • Have a comprehensive Data Aggregation strategy in place • Peg Operation data with Business Performance Parameters
Slide 25: New Perspective to BI
Slide 26: Three Components of Latency
Slide 27: The Benefit of Reducing Latency
Slide 28: Strategic BI Requires Activism and Alignment High s IT-induced solutions may s Users and IT form teams or may not meet user s BI core to strategic planning requirements s Business wins s Users fail to use IT- s Right technology and provided solutions products selected s Tech. vendors prevail s BI competency s Limited or no business center emerges benefits realized IT BI Activism s MIS reporting is the s Users source applications norm s Infrastructure issues arise s Inertia prevents any s Scale, integration significant, new and manageability initiatives are compromised s Business is run s Application vendors without the benefit of prevail complete perspective s IT as a utility, not a partner Low High User BI Activism
Slide 29: Methodology: Strategic BI Applications 7. Develop Majority of 6. Access, Decision Monitor, construction effort Alternatives Analyze Facts 1. Definition 8. Share Consume and 2. Data Collaborate 5. Discovery Identification and and Exploration Preparation Construct 9. Effect Change 4. Develop, 3. Tool Implement, Evaluation/ Train Selection
Slide 30: Business Intelligence – Getting it Right… Business E I User N T Involvement T Enterprise E Business -wide I R BI Metrics N P Strategy F R R I A S Business S E Intelligence Business T Business Data R Strategy C Accountability U U C L T T U Business Business U R User Data R E Agendas Sanctity E




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