Business Intelligence made easy! This is the first part of a two-part presentation I prepared for one of our customers to help them understand what Business Intelligence is and what can it do...
Download at http://DavidHubbard.net/powerpoint - This Introduction to Business Intelligence gives an overview of how Business Intelligence fits into business strategy in general. It does not go into the specific technologies of Business Intelligence. It is meant to be used to explain Business Intelligence to those not already familiar with Business Intelligence.
Download at http://DavidHubbard.net/powerpoint - This Introduction to Business Intelligence gives an overview of how Business Intelligence fits into business strategy in general. It does not go into the specific technologies of Business Intelligence. It is meant to be used to explain Business Intelligence to those not already familiar with Business Intelligence.
This presentation will help you understand the basic building blocks of Business Intelligence. Learn how decisions are triggered, the complete decision process and who makes decisions in the corporate world.
More importantly, understand core components of a Business Intelligence architecture such as a data warehouse, data mining, OLAP (Online analytical procession) , OLTP (Online Transaction Processing) and data reporting. Each component plays an integral part which enables today's managers and decision makers collect, analyze and interpret data to make it actionable for decision making.
Business intelligence has become an integral part that needs to be incorporated to ensure business survival. It is a tool that helps analyze historical data and forecast future so that your are always one step ahead in your business.
Please feel free to like, share and comment as you please!
Business intelligence- Components, Tools, Need and Applicationsraj
As part of the research project for the course Technical Foundations of Information Systems at the University of Illinois, our team worked on the topic, Business Intelligence. The presentation focuses on what is Business Intelligence, its various components, latest tools, the need of BI as well as applications of this technology. This project deals with the latest development of BI technologies (hardware or software) and includes comprehensive literature survey from Journals, and the Internet.
In this advanced business analysis training session, you will learn Data Analytics Business Intelligence. Topics covered in this session are:
• What is Business Intelligence?
• Data / information / knowledge
• What is Data Analytics?
• What is Business Analytics?
• What is Big Data?
• Types of Data
• Types of Analytics
• What is Business Intelligence?
For more information, click here: https://www.mindsmapped.com/courses/business-analysis/advanced-business-analyst-training/
What is BI,Definition, examples, BI industry, Solutions, Evolution, Catogeries, Key Stages of BI, BI significance, BI technologies, tools, future of BI
The purpose of business intelligence is to support better business decision making. BI systems provide historical, current, and predictive views of business operations, most often using data that has been gathered into a data warehouse or a data mart and occasionally working from operational data.
If your company is planning to build a data warehouse or BI solution, you need to be aware that BI projects have high failure rates. Gartner says between 70% to 80% of corporate business intelligence projects fail. And with “big data” adding more complexity you can expect even more failures. However, the major causes of these failures are well known and can be avoided by implementing a set of best practices.
I have worked on dozens of end-to-end BI projects and have seen my share of successes and failures. I will talk about the reasons BI projects fail and share best practices and lessons learned so your BI project will fall into the “successful” category.
This presentation will help you understand the basic building blocks of Business Intelligence. Learn how decisions are triggered, the complete decision process and who makes decisions in the corporate world.
More importantly, understand core components of a Business Intelligence architecture such as a data warehouse, data mining, OLAP (Online analytical procession) , OLTP (Online Transaction Processing) and data reporting. Each component plays an integral part which enables today's managers and decision makers collect, analyze and interpret data to make it actionable for decision making.
Business intelligence has become an integral part that needs to be incorporated to ensure business survival. It is a tool that helps analyze historical data and forecast future so that your are always one step ahead in your business.
Please feel free to like, share and comment as you please!
Business intelligence- Components, Tools, Need and Applicationsraj
As part of the research project for the course Technical Foundations of Information Systems at the University of Illinois, our team worked on the topic, Business Intelligence. The presentation focuses on what is Business Intelligence, its various components, latest tools, the need of BI as well as applications of this technology. This project deals with the latest development of BI technologies (hardware or software) and includes comprehensive literature survey from Journals, and the Internet.
In this advanced business analysis training session, you will learn Data Analytics Business Intelligence. Topics covered in this session are:
• What is Business Intelligence?
• Data / information / knowledge
• What is Data Analytics?
• What is Business Analytics?
• What is Big Data?
• Types of Data
• Types of Analytics
• What is Business Intelligence?
For more information, click here: https://www.mindsmapped.com/courses/business-analysis/advanced-business-analyst-training/
What is BI,Definition, examples, BI industry, Solutions, Evolution, Catogeries, Key Stages of BI, BI significance, BI technologies, tools, future of BI
The purpose of business intelligence is to support better business decision making. BI systems provide historical, current, and predictive views of business operations, most often using data that has been gathered into a data warehouse or a data mart and occasionally working from operational data.
If your company is planning to build a data warehouse or BI solution, you need to be aware that BI projects have high failure rates. Gartner says between 70% to 80% of corporate business intelligence projects fail. And with “big data” adding more complexity you can expect even more failures. However, the major causes of these failures are well known and can be avoided by implementing a set of best practices.
I have worked on dozens of end-to-end BI projects and have seen my share of successes and failures. I will talk about the reasons BI projects fail and share best practices and lessons learned so your BI project will fall into the “successful” category.
Business Intelligence Presentation - Data Mining (2/2)Bernardo Najlis
In this second part of the Business Intelligence Presentation, we dive into Data Mining, what it is, its business applications and some CRM related examples.
Business Intelligence is an extremely hot career. If you are a DBA or have another IT position, how can you transition to a BI role? James Serra will describe what exactly BI is, what encompasses the Microsoft BI stack, why it is so popular, and why a BI career pays so much. Then James will delve into the steps to take to become a BI expert and how he made the transition.
How to Write a Business Case: 4 Steps to a Perfect Business Case TemplateWorkfront
Yes, poor planning and lackluster top management support can kill otherwise well-built projects, but right up there is also the inability to make a convincing business case for your project. Luckily for you, the presentation provides a step-by-step guide for not only building a strong business case, but creating a business case template you can use again and again. Let’s get started…
Collaborate 2018: How to Get Cross Functional Reporting with an Enterprise Da...Datavail
Many organizations not only lack the ability to look at their data across the organization as whole, but often have no lens into the metrics that they need to report against or manage the business of their own departments.
How beneficial would it be to have a central data information repository – we call it an Enterprise Data Warehouse – from which to retrieve accurate data from across all aspects of your business? This presentation explains how this, and more, can be a reality for your business, in a relatively short amount of time.
What is SPI IQ? What is it used for, what are the applications, and what are the benefits/ROI? Advanced Analytics and Business Intelligence for the Retail space. Presented by Matthew Robinson (Director of Sales Engineering, SPI) at the 2016 SPI Conference.
Beginner’s Primer on Business Intelligence
Business Intelligence is a set of process, architecture, technologies that converts the raw data into meaningful information which helps any business in making productive decision.
Business Intelligence directly affects the strategic and progressive decisions of any organization by making the use of historical data and facts. It also helps in analysing the data and explains the end users the nature of the business in the form of Reports, Graphs and Dashboards.
The session will cover the following topics:
-What is Business Intelligence
-Where does BI fit within an organization
-Advantages of BI systems
-Various types of BI users
-Various BI Tools
-Careers in BI
-Q & A
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In computing, a data warehouse (DW, DWH), or an enterprise data warehouse (EDW), is a database used for reporting (1) and data analysis (2). Integrating data from one or more disparate sources creates a central repository of data, a data warehouse (DW). Data warehouses store current and historical data and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons.
The seminar is about Data warehousing, in here we are gonna discuss about what is data warehousing, comparison b/w database and data warehouse, different data warehouse models.about Data mart, and disadvantages of data warehousing.
New perspectives driving strategic initiativesSociusPartner
Developing and launching strategic initiatives is critical for businesses, but the effort required to manage and ensure success is often underestimated. Socius client, EGC, recognized this challenge and developed a process that is driving results. EGC Enterprises will discuss common challenges and talk about how you retool your own internal processes to overcome obstacles and drive faster results from your initiatives.
This project aimed to create a series of models for the extraction of Named Entities (People, Locations, Organizations, Dates) from news headlines obtained online. We created two models: a traditional Natural Processing Language Model using Maximum Entropy , and a Deep Neural Network Model using pre-trained word embeddings. Accuracy results of both models show similar performance, but the requirements and limitations of both models are different and can help determine what type of model is best suited for each specific use case
This project aimed to create a series of models for the extraction of Named Entities (People, Locations, Organizations, Dates) from news headlines obtained online. We created two models: a traditional Natural Processing Language Model using Maximum Entropy , and a Deep Neural Network Model using pre-trained word embeddings. Accuracy results of both models show similar performance, but the requirements and limitations of both models are different and can help determine what type of model is best suited for each specific use case.
A Data Science Project using data mining techniques (N-Grams, TF-IDF text analytics, sentiment detection) combined with R and ggplot2 for exploratory data analysis to predict stock market trends based on world news events sourced from Reddit /r/worldnews using Decision Trees and SVM (Support Vector Machines) on KNIME. All experiments were done using public cloud infrastructure, running HIVE queries to prefilter data with HDInsights on Azure.
Social Media World News Impact on Stock Index Values - Investment Fund Analyt...Bernardo Najlis
Presentation for project on Social Media World News Impact on Stock Index Values (DJIA) for Investment Fund Analytics. Group project done in course DS8004 - Data Mining at Ryerson University for Masters in Data Science and Analytics.
A research project using Twitter on Canadian Airlines: Topic Modelling, Sentiment Detection and Network Analytics. Presented on April 5th, 2017 in Toronto as part of course DS8006 - Social Media Analytics at Ryerson Masters in Data Science and Analytics.
#FluxFlow is a Social Media Analytics visualization to help understand the spread and behavior of anomalous information. Presented in DS8006 - Social Media Analytics course for the Masters in Data Science and Analytics program on February 1st, 2017 at Ryerson University.
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Accpac to QuickBooks Conversion Navigating the Transition with Online Account...PaulBryant58
This article provides a comprehensive guide on how to
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RMD24 | Debunking the non-endemic revenue myth Marvin Vacquier Droop | First ...BBPMedia1
Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
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Memorandum Of Association Constitution of Company.pptseri bangash
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A Memorandum of Association (MOA) is a legal document that outlines the fundamental principles and objectives upon which a company operates. It serves as the company's charter or constitution and defines the scope of its activities. Here's a detailed note on the MOA:
Contents of Memorandum of Association:
Name Clause: This clause states the name of the company, which should end with words like "Limited" or "Ltd." for a public limited company and "Private Limited" or "Pvt. Ltd." for a private limited company.
https://seribangash.com/article-of-association-is-legal-doc-of-company/
Registered Office Clause: It specifies the location where the company's registered office is situated. This office is where all official communications and notices are sent.
Objective Clause: This clause delineates the main objectives for which the company is formed. It's important to define these objectives clearly, as the company cannot undertake activities beyond those mentioned in this clause.
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Liability Clause: It outlines the extent of liability of the company's members. In the case of companies limited by shares, the liability of members is limited to the amount unpaid on their shares. For companies limited by guarantee, members' liability is limited to the amount they undertake to contribute if the company is wound up.
https://seribangash.com/promotors-is-person-conceived-formation-company/
Capital Clause: This clause specifies the authorized capital of the company, i.e., the maximum amount of share capital the company is authorized to issue. It also mentions the division of this capital into shares and their respective nominal value.
Association Clause: It simply states that the subscribers wish to form a company and agree to become members of it, in accordance with the terms of the MOA.
Importance of Memorandum of Association:
Legal Requirement: The MOA is a legal requirement for the formation of a company. It must be filed with the Registrar of Companies during the incorporation process.
Constitutional Document: It serves as the company's constitutional document, defining its scope, powers, and limitations.
Protection of Members: It protects the interests of the company's members by clearly defining the objectives and limiting their liability.
External Communication: It provides clarity to external parties, such as investors, creditors, and regulatory authorities, regarding the company's objectives and powers.
https://seribangash.com/difference-public-and-private-company-law/
Binding Authority: The company and its members are bound by the provisions of the MOA. Any action taken beyond its scope may be considered ultra vires (beyond the powers) of the company and therefore void.
Amendment of MOA:
While the MOA lays down the company's fundamental principles, it is not entirely immutable. It can be amended, but only under specific circumstances and in compliance with legal procedures. Amendments typically require shareholder
Explore our most comprehensive guide on lookback analysis at SafePaaS, covering access governance and how it can transform modern ERP audits. Browse now!
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
Putting the SPARK into Virtual Training.pptxCynthia Clay
This 60-minute webinar, sponsored by Adobe, was delivered for the Training Mag Network. It explored the five elements of SPARK: Storytelling, Purpose, Action, Relationships, and Kudos. Knowing how to tell a well-structured story is key to building long-term memory. Stating a clear purpose that doesn't take away from the discovery learning process is critical. Ensuring that people move from theory to practical application is imperative. Creating strong social learning is the key to commitment and engagement. Validating and affirming participants' comments is the way to create a positive learning environment.
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Unveiling the Secrets How Does Generative AI Work.pdfSam H
At its core, generative artificial intelligence relies on the concept of generative models, which serve as engines that churn out entirely new data resembling their training data. It is like a sculptor who has studied so many forms found in nature and then uses this knowledge to create sculptures from his imagination that have never been seen before anywhere else. If taken to cyberspace, gans work almost the same way.
2. How do I make decissions
in my business?
• How does the company make decissions? Using
intuition? You have to make business decisions based
on reality (facts and numbers!)
• EPM (Enterprise Performance Management) is a
management style focused on measuring companies
• Several Methodologies / Strategies:
• Balanced Scorecard
• Six Sigma, ABC - Activity Based Costing, TQM - Total
Quality Management
3. Phases in the Decision
Making Process
Intelligence Explicit the problem
Design Plan for possible solutions
Election Evaluate based on the outcome
Implementation Actions according to a plan
Control Verify expectations and effects
4. Types of decisions
Structured Semi structured Non structured
Strategic
Tactic
Operational
5. I need information!
• All of these methodologies are based in several
numeric indicators
• “If you can’t measure it, you can’t manage it”
• Indicators come from “day-to-day reality” (main
street)
• Monthly outcome, Number of complaints filed
per product, Number of satisfied customers,
Returns
• Data exists, but ...
6. Different Points of View (1)
• The CEO says “We need to sell more”
• Marketing Mgr thinks “What can we offer to our
customers?”
• To do this, we need to know: What are the most sold
products? What bundles are the most successful?
• Who can provide us with this information? Because, we
already have this information, don’t we?
• IT Mgr, while upgrading platforms and implementing a new
CRM system, estimates that the information will be available
in 20-30 days...
7. Different Points of View (2)
• Marketing Mgr asks: A month!? Didn’t we have this kind of
information in our servers already?
• IT Mgr answers:Yes, the data is there, but it doesn’t have the
right structure to answer the questions you’re asking
• Marketing Mgr keeps thinking that if the data is there, it can’t
be so difficult to get the answers they need
• IT Mgr keeps thinking that Marketing Mgt always asks for
weird things, and with not time at all
• And the CEO just wanted to sell more!
8. Business Problem
• Where is the problem?
• Marketing Mgr is right: the data IS in the servers
• IT Mgr is also right: is not easy to give data the right
structure to answers questions
• For IT is just enough to deal with data, Marketing
needs to extract information from this data.
9. Data and information
are not the same
• Companies always maintain several systems to run
their everyday business
• All of the company workers add and check data from
this systems all the time
• However sometimes this data, presented in this way,
is not enough to make business decisions
10. Data, Information and
Knowledge
• Data: entity and transactions stored as
structures and codes
• Information: is the outcome of processing and
extraction of data, with specific domain
meaning to those who access it
• Knowledge: Information becomes knowledge
when is used to make decisions and take
actions accordingly
11. What is Business Intelligence?
• Is a set of processes, technologies, applications and
practices used to provide information and support
the decision making process
• It is NOT a standard software product, it is
specifically designed by consulting and targeted to a
particular business need
• There is a series of technology tools that support
this objective
• To better understand this, a new type of systems
categorization appears:
OLTP (Transactional) and OLAP (Analytical)
12. What is BI?
SCD
MOLAP RDBMS ROLAP
ODS Data Warehouse ETL Forecasting
Analytics
Analytics Data Mining Clustering EIS
HOLAP Alerting KPI Reporting OLAP
Alerting
Time Series
Key Performance Indicators
Dashboards
Sales Intelligence
MDM Data Mart
Knowledge Discovery
Online Analytical Processing Data Integration
13. Transactional Systems
OLTP
• Designed to solve everyda work
transactions (i.e. sales, customer care,
manufacturing)
• Points where the data is captured and
recorded in the company
• Very efficient in the management of specific
information
• ERP, CRM, RRHH, SCM, Email, Others
14. Problems and Disadvantages
• Relational Databases were designed for everyday
work and not for analysis
• It is difficult to manage historical information
• Data is distributed among multiple systems and
databases. How and where do you gather all of the
systems data?
• To extract information from data you need knowledge
of non-trivial skills (programming or SQL language)
and is not a dynamic process
15. Analytical Systems
OLAP
• OLTP Systems complement
• Designed specifically to obtain information, analyze
and solve business problems
• Specific analytical information is added to the data
• They use a different database technology, optimized to
extract information.
• Analytical systems unify all of the company’s data in
one system: the Data Warehouse
16. What is a Data Warehouse?
• Is a digital warehouse with all of the electronic
registered data in a company
• They store all of the company’s information:
daily and historical data
• They gather heterogeneous information sources
in one centralized space
• It is used for reporting, data analysis and
exploration, to see and detect changes and
tendencies
• Only two operations exist: load and query
17. Data Warehouse or
Data Mart?
• A Data Warehouse contains all of the
company’s information (wide scope, higher risk
project)
• A Data Mart is targeted to solve one
company’s department needs in particular
(limited scope, lower risk project)
• The Data Warehouse can be built joining
multiple specific Data Marts
18. DWh Objectives
• Must allow easy access to the company’s
information
• Must present this information in a consistent way
• Must be adaptable and change-resilient
• Must be a safe store, protecting the company’s
information assets
• Must support the decision making process
• Must be accepted by the decision makers to be
successful
19. DWh Challenges
• Has to unify the whole company’s data model
• Data latency
• Historical data storage
• Data granularity
• Speed and performance in queries
• Independent of OLTP system changes
20. How do we build a DWh?
• ETL processes Extract the information from
transactional systems, Transform this information and
they Load it into the data warehouse
• The information is stored in multidimensional
databases
• Information is ready to be used
• The systems to access information are easy to use,
you don’t have to work at NASA!
21. Dimensional Modelling (1)
• This is what makes a Data Warehouse a
business oriented database
• Measures. Business Variables
• Numerical values
• Sums, consolidations, arithmetic operations
• Dimensions
• Texts
• Filters
22. Dimensional Modelling (2)
Time Date-ID
Facts
Dimension Year Product-ID
Month Date-ID
Date-ID SKU
Day Product-ID
Branch-ID Description
Category
Total Type
Branch-ID
# Products Price
Country
# Tickets
State Product
Branch City Dimension
Dimension
23. Why is it multidimensional?
• A dimension is one of
the “edges” of your
business
• Customers • It is called
multidimensional
• Invoices because you can see
the information from
• Orders different “edges” at
• Quotes the same time
• Time
• Activities
24. ETL Processes
Database
Data Information
OLTP ETL
Warehouse Access
Systems
Transformation
Extraction Loading
25. What’s in a cube?
Time
ts
uc
od
967
Jan Feb Mar Apr
Pr
540
P4
967
P3
P2
780 P1
Clients
Josh Sarah Joe Anna
26. Data Warehouse
Database Technology
• MOLAP : Multi Dimensional
• ROLAP : Relational
• HOLAP : Hybrid
27. How do I “see” what’s in
a DWh?
• OLAP Cubes
• Reports
• Dashboards
• KPIs - Key Performance Indicators
• Alerts
28. OLAP Cubes
• They let you analyze all of the information available
in the Data Warehouse
• Each cube stores a set of specific information, and
contains different “measures” and “dimensions”
• Measures are numbers (i.e. amounts, quantities,
percentages)
• Dimensions contain attributes to filter and order
information
• Several visualization tools: Excel, Reports, Web
29. Some cubes
• Sales
• Stock
• Suppliers
• Orders
• Accounting...
• Human Resources...
• Finances...
30. • Dimensions
Sales
• Date / Time
• Customer
• Branch / Store
• Product
• Discount
• Measures
• Quantity
• Cost
• Profit
31. Stock / Inventory
• Dimensions
• Date / Time
• Store / Branch
• Product
• Measures
• Qty / Price / Cost
32. Supply
• Dimensions
• Date / Time
• Supplier
• Product
• Contract / Contract terms
• Type of transactions
• Measures
• Qty / Amount / Cost
33. Orders
• Dimensions
• Date / Time
• Product
• Customer
• Salesperson
• Terms of sale
• Measures
• Qty / Amount / Discount
34. Reports
• These are the classic reports we already know
• When your reports are built with data from the
DWh, you can trust on a reliable data source
• Historical data can be accessed too
• You can build reports with data coming from
different systems in the company
• All of the reports are accessed from the same
location
35. Digital Dashboards
• Is an information system similar to a car’s
dashboard, designed to be easy to read
• Easy and visual information presented in a way
to help you detect and correct tendencies
• Use them to align company strategies among
departments and global objectives
36. Key Performance
Indicators (KPI)
• They measure specific items and help you
organize, define and evaluate your objectives
• SMART: Specific, Measurable, Achievable,
Relevant, Time-bound
• Number of new Customers, Opportunity closing
average time, Customer loss index
37. Conclusions
• OLTP systems to support everyday work and
give information to the company
• OLAP systems to extract and analyze
information and to make decisions
• Dashboards to concentrate information in a
centralized view
• OLAP cubes to solve specific questions and
freely explore information
38. Some Software Products
you might need
• Microsoft SQL Server Analysis Services
• Microstrategy
• SAS
• OpenSource Alternatives (Pentaho)