PowerPoint Presentation - MAIA Intelligence by wuyunyi


Business Intelligence…examples
   A hotel franchise uses BI analytical applications to compile statistics on average
    occupancy and average room rate to determine revenue generated per room. It also
    gathers statistics on market share and data from customer surveys from each hotel to
    determine its competitive position in various markets. Such trends can be analyzed
    year by year, month by month and day by day, giving the corporation a picture of how
    each individual hotel is faring.
   A bank bridges a legacy database with departmental databases, giving branch
    managers and other users access to BI applications to determine who the most
    profitable customers are or which customers they should try to cross-sell new products
    to. The use of these tools frees information technology staff from the task of generating
    analytical reports for the departments and it gives department personnel autonomous
    access to a richer data source.
   A telecommunications company maintains a multiterabyte decision-support data
    warehouse and uses business intelligence tools and utilities to let users access the data
    they need without giving them carte blanche to access hundreds of thousands of
    mission-critical records. The tools set boundaries around the data that users can access,
    creating data "cubes" that contain only the information that's relevant to a particular
    user or group of users.
           BI Industry Scenario…
   Today's exciting BI market is ripe with opportunities to hit your strategic
    business targets.
   Gaining market share, keeping customers and controlling costs remain key
    objectives. Mid-market executives and big corporate department heads rush
    to cost effectively meet these complex needs. How? Through improved use of
    their existing database systems.
   CFOs require 'business intelligence' systems that display accurate SKU or
    customer-level P&Ls, permitting reliable channel and store comparisons over
    time. Improved forecasts are vital, too!
   Data warehousing and analytical skills are combined with an understanding
    of industry issues, as we refine and implement your vision.
   According to Gartner survey of 1,400 CIOs, business intelligence was ranked
    the top technology priority surpassing security.
   The BI and analytics market is currently valued at $8.5 Billion and is
    expected to grow to $13 Billion over the next five years
       Business Intelligence (BI)
       BI refers to
     application and
      which is used
to gather, provide access
       to, and analyze
  data and information
   about the company
Business Intelligence Definition
   BI is neither a product
        nor a system.

   It is an architecture and
         a collection of
    integrated operational
 as well as decision-support
 applications and databases
  that provide the business
easy access to business data.
              BI Popularized…
          In 1989
      Howard Dresner
     a Research Fellow
      at Gartner Group
      popularized "BI"
    as an umbrella term
to describe a set of concepts
  and methods to improve
 business decision-making
     by using fact-based
      support systems
Why BI solutions ?
More data and data sources…
Evolution from Static Report to BI…
Evolution of financial Systems…
Categories of Report Writers
Sources of Information for Vendor
      & Product Research
       Key Stages of BI

   Data Sourcing
   Data Analysis
Situation Awareness
   Risk Analysis
 Decision Support
 BI applications and technologies
  can help companies analyze:
changing trends in market share

 changes in customer behavior
     and spending patterns

    customers' preferences

   company capabilities
     market conditions
       Significance of BI…
     To know about Customers
        Having access to timely and accurate information
              is an important resource for a company,
              which can expedite decision-making
              and improve customers' experience.

             In the competitive customer-service sector,
     companies need to have accurate, up-to-date information
                      on customer preferences,
so that the company can quickly adapt to their changing demands.

           BI enables companies to gather information
              on the trends in the marketplace and
          come up with innovative products or services
        in anticipation of customer's changing demands.
        Significance of BI…
To know about Competitors…Market…
       BI applications can also help managers
to be better informed about actions that a company's
                 competitors are taking.

BI systems can also be designed to provide managers
    with information on the state of economic trends
     or marketplace factors, or to provide managers
       with in depth knowledge about the internal
                operations of a business.
       Significance of BI…
    For avoiding Guesswork…
BI can be used to help analysts and managers
determine which adjustments are most likely
       to respond to changing trends.

BI systems can help companies develop a more
  consistent, data-based decision making process
 for business decisions, which can produce better
     results than making business decisions by
         Significance of BI…
     For sharing of information…
BI can help companies share selected strategic information
                with business partners.

             Some businesses use BI systems
     to share information with their suppliers like…..

                    inventory levels
                  performance metrics
                 other supply chain data
         Significance of BI…
    For improving performance…
BI applications can enhance communication among
     departments, coordinate activities, and enable
    companies to respond more quickly to changes
        (e.g., in financial conditions, customer
      preferences, supply chain operations, etc.).

 When a BI system is well-designed and properly
    integrated into a company's processes and
    decision-making process, it may be able to
        improve a company's performance.
                        BI Technologies

  need to have a secure computer system
 which can specify different levels of user
         access to the data 'warehouse',

   need to have sufficient data capacity,
  a plan for how long data will be stored
              (data retention).

 BI analysts have developed software tools
           to gather and analyze
large quantities of unstructured data such as

            production metrics,
              sales statistics,
            attendance reports,
         customer attrition figures.
                       BI Tools
 AQL – Associatede Query Logic
        Balanced Scorecard
   Business Activity Monitoring
  Business Performance Management
        Business Planning
 Business Process Re-engineering
       Competitive Analysis
User/End-User Query and Reporting
  Enterprise Management System
  Executive Information System
SCM – Supply Chain Management
   Demand Chain Management
   Finance and Budgeting tools.
 Other BI applications are used
  to store and analyze data
   Data Mining, Framing & Warehousing
            (DSS) and Forecasting
   Document Warehouse & Manage,ment
          Knowledge Management
Information Visualisation and Dashboarding;
  Management Information System (MIS);
   Geographic Information System (GIS);
               Trend Analysis;
        Software As A Service (SaaS)
Business Intelligence offerings (On Demand)
  Online Analytical Processing (OLAP) and
         Multidimensional analysis
        sometimes called "Analytics"
    (based on the "hypercube" or "cube");
       Real Time Business Intelligence
   Statastics and Technical Data Analysis
        Web Mining, Text Mining and
             Systems Intelligence
        Other BI applications are used
         to analyze or manage the
        "human" side of businesses,

Customer Relationship
  Management (CRM)

  Marketing Tools

 Human Resources
Web Personalisatiuon
             Some common factors of
  ill-equipped organizations to implement BI…

 Lack of understanding of the complexity of BI decision-
  support projects
 Lack of recognizing BI decision-support projects as
  cross-organizational business initiatives and not
  understanding that cross-organizational initiatives are
  different from stand-alone solutions
 Unavailable or unwilling business representatives
 Unengaged business sponsors or business sponsors who
  have little or no authority due to their low-level positions
  within the organization
              Some common factors of
   ill-equipped organizations to implement BI…

 Lack of skilled and available staff as well as suboptimum staff
 Inappropriate project team structure and dynamics
 No software release concept (no iterative development method)
 No work breakdown structure (no methodology)
 Ineffective project management (only project administration)
 No business analysis and no standardization activities
 No appreciation of the impact of dirty data on business profitability
 No understanding of the necessity for and the usage of meta data
 Too much reliance on disparate methods and tools (the "silver bullet"
       Designing and implementing a
       Business Intelligence Program
Factors need to be considered
    Goal Alignment queries
        Baseline queries
      Cost and risk queries
Customer and Stakeholder queries
     Metrics-related queries
  Measurement Methodology-
           related queries
     Results-related queries
                The Future of BI…

      BI users are beginning to demand
       [Real time BI] or near real time
      analysis relating to their business,
     particularly in front line operations.

They will come to expect up to date and fresh
    information in the same fashion as they
           monitor stock quotes online.

     Monthly and even weekly analysis
              will not suffice
             The Future of BI…
               "Business users
   don't want to wait for information.
   Information needs to be always on
         and never out of date.

This is the way we live our lives today.
Why should Business Intelligence be any

         Charles Nicholls,
CEO of SeeWhy, a Software company,
            Windsor UK
          The Future of BI…

   In the not too distant future companies
   will become dependent on real time
   business information in much the
   same fashion as people come to
   expect to get information on the
   internet in just one or two clicks.
   "This instant "Internet experience"
   will create the new framework for
   business intelligence, but business
   processes will have to change to
   accommodate and exploit the real-
   time flows of business data."

Nigel Stokes, CEO, DataMirror Corp.
                     BI 2.0

“BI 2.0" is the recently-coined
    term which is part of the
   continually developing BI
 industry and heralds the next
          step for BI.

“BI 2.0" is used to describe
 the acquisition, provision
       and analysis of
      "real time" data.
     "Real Time BI - Get Real"
"The mismatch between fantasy and reality
          is driven by two factors.
The first is that business rules and structures
    (general ledgers, product classification,
      asset hierarchies, etc.) are not in fact
   uniform, but are spread out among many
            disparate transaction system
The second problem is that the landscape of
     business structures is itself in constant
    flux, as groups reorganize, subsidiaries
     are sold or new companies acquired".
   …Veteran Analyst… Andy Hayler…
"Real Time BI…a pipe dream”
As long as Business Intelligence relies upon
     some kind of data warehouse structure
        (including web-based virtual data
       "warehouses"), data will have to be
        converted into "a lowest common
           denominator consistent set."

 When it comes to dealing with multiple,
       disparate data sources and the
    constantly changing, often volatile,
   business environment which requires
     tweaking and restructuring of IT
  systems, getting BI data in a genuinely
     true, "real time" format remains,
        "a pipe dream.....Hayler
     Thank You!

       Piyush Mehta
         1KEY – Data 2 Decision

   Does your IT Infrastructure keep up with the changing needs and demand?
   Does your IT system help to provide business transformation and leadership?
   Do your organisation not dependent on spreadsheets for mass reporting?
   Don’t you feel at the mid-sea of database without direction to get useful
    information out of that?
   Does your Organisation mass reporting system work at the speed of
   Do your technology capable of creating magic?

   There is one solution to all your above questions……..

   1KEY BI Software Product from MAIA Intelligence

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