Knowledge management and business intelligence

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Knowledge management and business intelligence - A quick review

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  • Business intelligence (BI) is the ability of an organization to collect, maintain, and organize data. This produces large amounts of information that can help develop new opportunities. Identifying these opportunities, and implementing an effective strategy, can provide a competitive market advantage and long-term stability.In short BI transforms data into knowledge - BI is used to collaborate on share view of the business drivers
  • Transforms data into knowledgeWhyThe world of data is changing80% unstructured, 10x increase 5/y, N/devices person, data marketsNew set of answers Brand social feeling, optimize using data mashups, predict futureMany organizations today use a collection of Business Intelligence (BI) tools and applications to allow experts to gather information from a variety of sources, analyze it, and share it with managers and staff.
  • Enterprise Business Intelligence requires not just a comprehensive BI tool set, but pervasive BI that provides insight to all employees within the context of their workflows. It needs to unify the many fragmented systems into a coherent enterprise view, while aligning forward-looking information to real time and historical data. It must be integrated ensuring accuracy and integrity of information across all delivery channels and resulting in lower cost of ownership. It needs to be fully secure to protect all enterprises information assetsSelecting the Right BI ToolKnow Your Business Check Your Solution Expectations Change Your Vendors Wisely Same old needs (but in faster cycles)Know our business, survive competition, make (better) decisions!Selecting a BI Tool with a specific need:Identify the problemFind the solution with clear business objective.
  • Many organizations today use a collection of Business Intelligence (BI) tools and applications to allow experts to gather information from a variety of sources, analyze it, and share it with managers and staff. Enterprise Business Intelligence requires not just a comprehensive BI tool set, but pervasive BI that provides insight to all employees within the context of their workflows. It needs to unify the many fragmented systems into a coherent enterprise view, while aligning forward-looking information to real time and historical data. It must be integrated ensuring accuracy and integrity of information across all delivery channels and resulting in lower cost of ownership. It needs to be fully secure to protect all enterprises information assets
  • Planning It should clarify knowledge goals and establish effective values and processes to support these directions.Takes time and demands perseverance.Requires ongoing monitoring and measurement.Progressive review and re-planning to handle changing environment.-------------------------------------------------------------------------------PeopleThe most important aspect is to recognize that strategic knowledge management lies with the people.People manage the system and processes.Need is to convince people about the benefits of strategic knowledge management.---------------------------------------------------------------------ProcessesKnowledge management principles need to be put into application via effective workplace practices.Careful management of the alignment of strategies, principles, processes and practices needs to be done.Messages about what is important might be perceived differently across the organization.Need of the hour would be to monitor the actual process regularly to ensure that it reflects knowledge priority--------------------------------------- ProductsEach organization builds it’s own knowledge output. Might be shared to client or exist as internally shared knowledge objects.Explicit knowledge should be captured and distributed efficiently and timely.Example – Intranet.-----------------------------------PerformanceRegular review to ensure that the financial and social capital investment is positively influencing the intellectual and social capital of the organization.Regular evaluation to consider how well knowledge management is integrated into the business context.------------------------
  • The purpose of a business intelligence system is to provide the right information, to the right user, at the right time.A tool is a computer programAn information system is a collection of hardware, software, data, procedures, and peopleA reporting tool can generate a report that shows a customer has canceled an important order.A reportingsystem, however, alerts that customer’s salesperson with this unwanted news, and does so in time for the salesperson to try to alter the customer’s decision.A data-miningtool can create an equation that computes the probability that a customer will default on a loan.A data-miningsystem uses that equation to enable banking personnel to assess new loan applications.
  • SKM Framework should create a knowledge view of the organisation and use knowledge dimensions as the basis for its competitive position in a specific industry or market. Technology and business models can then be combined to produce strategic KM capabilities that will deliver sustainable advantage
  • Knowledge management and business intelligence

    1. 1. KNOWLEDGE MANAGEMENT & BI Mohamed Azmi Taufik & Amal Nabilah Md Amin
    2. 2. Business Intelligence 1. Definition 2. Business Intelligence as a subset of Knowledge Management 3. Business Intelligence and Strategic Knowledge Management Key aspects of any business o Knowledge Management o Business Intelligence 2
    3. 3. What is Business Intelligence?  A set of theories, methodologies, processes, architectures and technologies that transform raw data into meaningful and useful information for business purposes.  Business intelligence can be defined as "a broad collection of software platforms, applications, and technologies that aim to help decision makers perform more effectively and efficiently" (Arnott, Gibson and Jagielska, 2004)  Business Intelligence (BI) is computer-based techniques used in identifying, extracting, and analyzing internal business data.  Business intelligence aims to support better business decisionmaking by upper management. It is also called a Decision Support System (DSS). 3
    4. 4. The importance of BI  Allows organizations to get a more accurate and detailed picture of what is going on in terms of business and customers.  Brings visibility into the organization at granular levels  It allows organizations to review customer behavior BI allows the users to transparently access and analyse any type of data through applications that are designed to support the core business processes 4
    5. 5. The flow of BI process and tools 5
    6. 6. Keys to Successful BI Implementation  Data “On-Boarding” Efficiency  Data Accessibility  Data Reliability  On-Time Information Delivery 6
    7. 7. Business Benefits BI infrastructure enables the organization;  to unlock the information and see data in new ways  to integrate data across the enterprise  empower business users to become information self- sufficient.  empowers knowledge worker to make faster and better decisions Improve productivity with better decision making and faster response-tomarket changes or other business events. 7
    8. 8. How BI and KM are related Business intelligence starts with a data warehouse and query/reporting and analysis tools for the purpose of measuring historical activity. However over time, BI activities will expand outward to embrace other kinds of data and business processes that currently fall within the domain of knowledge management. Wisdom Review, Measure, Refine nts Eve Action Operational Systems Plans Experience Rules and Models Knowledge ta da Information Analytical Tools Data Warehouses Analytical Systems 8
    9. 9. How BI and KM are related (2) 9
    10. 10. STRATEGIC KNOWLEDGE MANAGEMENT & BUSINESS INTELLIGENCE 10
    11. 11. STRATEGIC KNOWLEDGE MANAGEMENT o Strategic Knowledge management helps in identifying the needs of a firm, organizing flow of information , implementing the plan and evaluating the whole exercise to find gaps and to rectify things in time. o Strategic Knowledge management helps in achieving the organizational goals. 11
    12. 12. A strategic perspective on KM A strategic perspective on KM means addressing: 1) vision and direction, and 2) how to organize and manage knowledge-related resources for competitive advantage.  Effects of strategic KM on innovation  Effects of strategic KM on organisational performance (1) financial performance - market performance (profitability, growth and customer satisfaction); (2) process performance – refer to quality and efficiency; (3) internal performance - relates to individual capabilities (employees’ qualification, satisfaction and creativity) 12
    13. 13. Cycle of Strategic Knowledge Management 13
    14. 14. 5 Ps of Strategic KM People Process 14
    15. 15. The 4 common barriers to Strategic Knowledge Management The “Strategic Intent” for KM / KS is not understood by those who must implement it…and not translated into measurable objectives via a “Systems Thinking” approach. Personal goals, knowledge transfer, and key competency development is not linked to strategy implementation & the impact of the “Change” is not fully understood. Management systems are designed for operational control and tied to budgets & not the strategic value drivers. Key processes, ERP systems & IT are not designed to leverage the drivers of business strategy - they tend to be “transactional” and not “transformational”. 15
    16. 16. SKM & BI  Understand knowledge and KM technologies important to build & implement BI system  Parameterization of the BI system is very essential for accurate performance. It involves :  Identifying and modelling business knowledge  Monitoring and modifying various data  Understanding how to interpret result & modify further queries  Use the results for improving business decision making on continuous basis 16
    17. 17. SKM & BI Business Intelligence (BI) refers to skills, processes, technologies, applications and practices used to support decision-making. These involve intelligent data analysis and mapping required for decision-making. Business Intelligence and SKM provides business / e-business with the necessary intelligence to improve on various business aspect. An intelligent organization is always positioned to excel and satisfy by making better decision 17
    18. 18. MAHB 18
    19. 19. TM’s APPLICATIONS INFORMATIONS SOURCES Enterprise Data WareHouse-BI Architecture SUN DW20 SERIES EDWH MPP Technology 6 CPU – Dual Core 16x3 Gigabytes BI-CUS Datamart GREENPLUM DW End Users GreenPlum DB BI-CPA Datamart ETL Scripting – SQL GreenPlum DB BI-RAS Datamart GreenPlum The outputs are crucial for the decision making processes 19
    20. 20. THANK YOU
    21. 21. The CUBE Engine CUBE The Analytic Workspace (AW) is used to store the multidimensional data types, e.g. the dimensions, measures and cubes. An Oracle database schema can contain one or more analytic workspaces in addition to owning the normal relational objects such as the tables, indexes and materialized views.
    22. 22. Example of BI Engine
    23. 23. Business Intelligence Business intelligence tools search data to find meaningful information; they fall into two classifications – reporting tools and data-mining tools Reporting tools read data from a variety of sources, process that data, and produce formatted reports Use simple techniques; e.g., sorting, selecting and grouping to calculate totals and averages. Used primarily for assessment; e.g., What has happened in the past? What is the current situation? and how does the current situation compare to the past? Data-mining tools process data using statistical techniques, many of which are mathematically complex. Data mining involves searching for patterns and relationships among data. In most cases, data-mining tools are used to make predictions; e.g., what is the probability that a customer will default on a loan?
    24. 24. Flow of information into knowledge
    25. 25. BI empower the users
    26. 26. Strategic Knowledge Management Framework

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