Session 37 Business Intelligence Reporting Presenter: Marchand Hildebrand Date: 12 March 2014

Overview Business Intelligence Dashboards Power Pivots

BI Reporting Business Intelligence (BI) is the science of transforming raw data into meaningful and useful information for business purposes BI, in simple words, makes interpreting voluminous data friendly. Making use of new opportunities and implementing an effective strategy can provide a competitive market advantage and long-term stability.[1] Business intelligence, or BI, is an umbrella term that refers to a variety of software applications used to analyse an organization’s raw data. BI as a discipline is made up of several related activities, including data mining, online analytical processing, querying and reporting. BI Reporting - Strategic reporting to serve the strategic management of a business, not operational reporting Multidimensional aggregation and allocation Denormalization, tagging and standardization Realtime reporting with analytical alert Interface with unstructured data source Group consolidation, budgeting and rolling forecast Statistical inference and probabilistic simulation Key performance indicators optimization Version control and process management Open item management Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics. Reporting/enterprise reporting – program that builds infrastructure for strategic reporting to serve the strategic management of a business, not operational reporting. Frequently involves data visualization, executive information system and OLAP. Collaboration/collaboration platform – program that gets different areas (both inside and outside the business) to work together through data sharing and electronic data interchange.

BI Functions Reporting Online analytical processing Analytics Data mining Process mining Complex event processing Business performance management Benchmarking Text mining Predictive analytics Prescriptive analytics

Business Application Measurement Analytics Enterprise reporting Collaboration Knowledge management Measurement – program that creates a hierarchy of performance metrics and benchmarking that informs business leaders about progress towards business goals (business process management). Performance metrics measure of an organization's activities and performance. Analytics – program that builds quantitative processes for a business to arrive at optimal decisions and to perform business knowledge discovery. Frequently involves: data mining, process mining, statistical analysis, predictive analytics, predictive modelling, business process modelling, complex event processing and prescriptive analytics. Reporting/enterprise reporting – program that builds infrastructure for strategic reporting to serve the strategic management of a business, not operational reporting. Frequently involves data visualization, executive information system and OLAP online analytical processing, Collaboration/collaboration platform – program that gets different areas to work together through data sharing and electronic data interchange. Knowledge management – program to make the company data driven through strategies and practices to identify, create, represent, distribute, and enable adoption of insights and experiences that are true business knowledge. Knowledge management leads to learning management and regulatory compliance.

Benefits of BI Improves decision making Reducing costs Identify new business opportunities Support decision making with factual information Identify trends to develop strategies Manage employee performance Identify quality issues Optimize business processes through the use of technology Forecast, budget, and plan within a process-centric environment Ability to monitor the organization's performance regularly and centrally throughout the day Companies use BI to improve decision making, cut costs and identify new business opportunities. BI is more than just corporate reporting and more than a set of tools to coax data out of enterprise systems. CIOs use BI to identify inefficient business processes that are ripe for re-engineering.

Dashboards Graphical presentation of the current status (snapshot) and historical trends of an organization’s key performance indicators to enable instantaneous and informed decisions to be made at a glance.

Example

Real-time user interface Features Easy to read Single page Real-time user interface

Types of Dashboards Strategic Analytical Operational Informational Strategic dashboards support managers at any level in an organization, and provide the quick overview that decision makers need to monitor the health and opportunities of the business. Dashboards of this type focus on high level measures of performance, and forecasts. Strategic dashboards benefit from static snapshots of data (daily, weekly, monthly, and quarterly) that are not constantly changing from one moment to the next. Dashboards for analytical purposes often include more context, comparisons, and history, along with subtler performance evaluators. Analytical dashboards typically support interactions with the data, such as drilling down into the underlying details. Dashboards for monitoring operations are often designed differently from those that support strategic decision making or data analysis and often require monitoring of activities and events that are constantly changing and might require attention and response at a moment's notice.

Advantages Visual presentation of performance measures Ability to identify and correct negative trends Measure efficiencies/inefficiencies Ability to generate reports showing new trends Ability to make more informed decisions based on collected business intelligence

Advantages Align strategies and organizational goals Saves time compared to running multiple reports Gain total visibility of all systems instantly Quick identification of data outliers and correlations

Design Consideration Who are you trying to impress? Select the right type of dashboard Group data logically - Use space wisely Make the data relevant to the audience Don’t clutter your dashboard - Present the most important metrics only How often does the data really need to be refreshed

Delivery Mechanism Push & Pull Security Sensitive Data Publish into iEnabler Sharepoint vs Microsoft BI

Disclaimer The information, comments and material presented in this presentation are provided for information purposes only. The presentation is not addressing all possible technical or business aspects and does not claim to be complete or exhaustive. Adapt IT reserves the right to change its business or product development plans as circumstances dictate. This document may not be reproduced or distributed without the written permission of Adapt IT (Pty) Ltd.

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