Efficiency Improvement & Cost Reduction through Business Intelligence (BI) in Fertilizer Sector. - A presentation by Sanjay Mehta, CEO, MAIA Intelligence at The Fertilizer Association of India (FAI) WORKSHOP ON ICT FOR IMPROVING EFFICIENCY IN FERTILISER AND AGRICULTURE SECTORS held from March 16-19, 2009 at Manali.
Improve Efficiency & Reduce Costs through BI in Fertilizer Sector
1. MAIA Intelligence Improve Efficiency & Reduce Costs through ICT (Business Intelligence) in the Fertiliser Sector Presented by Sanjay Mehta, CEO [email_address]
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3. “ Not everything that can be counted counts, and not everything that counts can be counted.” ~Albert Einstein
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6. Two Distinct Worlds Personal Productivity Business Process Automation Sara, CFO Arun, Marketing Julia, Systems Kevin, Account Mgr. Inga, Purchasing IT Finance Operations Sales & Marketing
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8. Analyzing Fertilizer Business Business data is not easily accessible and is often “lost” in line of business applications Issue Solution Support decision making across entire enterprise at every level: strategic, tactical, operational Implement a real-time analytical engine and embed BI into critical business processes Deliver one version of the truth with advanced analytics including powerful data mining tools People need access to accurate data and analysis to make day-to-day business decisions Always viewing business information in hindsight, with little ability to forecast future activity
9. Enterprise Reporting for Fertilizer Reports take too long to get and are often out-of-date, limiting their usefulness Issue Solution Implement reporting solution that delivers reports anytime, anywhere, in the format you require Get real-time, refreshable reports without having to rely on IT to run them every time Implement a single, integrated enterprise solution for the entire reporting cycle Reports are in-flexible, not available when and where needed, and difficult to interpret Users require flexibility in report format and layout
16. Where BI Fits Business Intelligence Intra/Extra/Internet OLTP DW / DM Knowledge Management Business Needs Information Resources Competition Regulation
17. Simplistic BI Data Flow - Fertilizer HR Data Mart Operational Data Level OLTP, ERP, external data legacy applications Inventory Detail Records HR Records Warehouse Level Collect, cleanse, organize and distribute Analytical Level query, reporting & analysis End User Analysts Managers HR Data External Data Performance Data Mart Customer Data Mart DATA WAREHOUSE Customer Data Production Data
18. Solving MIS Complexity with BI Effective Data Sanctity – Trusted Information Effective Training & Implementation Effective Mapping of KPI’s & KRA’s in MIS Small Group Enterprise Extended Team Structured Unstructured Extended Enterprise Individual Stable Chaotic Degree of Work Complexity Scope of Organization Complexity Degree of Data Complexity
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