IST722 Data Warehousing Project Management & Requirements Gathering Michael A. Fudge, Jr.

Slides:



Advertisements
Similar presentations
Dimensional Modeling.
Advertisements

BY LECTURER/ AISHA DAWOOD DW Lab # 2. LAB EXERCISE #1 Oracle Data Warehousing Goal: Develop an application to implement defining subject area, design.
Project Management.
SUMMER 2005 JUNE Preparing an Organizational Change Management Plan Org Change Management Activities by Project Phase.
1 9 Ch3, Hachim Haddouti Adv. DBS and Data Warehouse CSC5301 Ch3 Hachim Haddouti Hachim Haddouti.
Dimensional Modeling – Part 2
IST722 Data Warehousing An Introduction to Data Warehousing Michael A. Fudge, Jr.
IST722 Data Warehousing Technical Architecture Michael A. Fudge, Jr. * Figures taken from Kimball Ch. 4.
Data Warehousing (Kimball, Ch.2-4) Dr. Vairam Arunachalam School of Accountancy, MU.
Chapter 12 Information Systems. 2 Chapter Goals Define the role of general information systems Explain how spreadsheets are organized Create spreadsheets.
Components of the Data Warehouse Michael A. Fudge, Jr.
Building a Data Warehouse with SQL Server Presented by John Sterrett.
Data warehousing theory and modelling techniques Building Dimensional Models.
Bellezza Management Salon
ETL Design and Development Michael A. Fudge, Jr.
Agenda Common terms used in the software of data warehousing and what they mean. Difference between a database and a data warehouse - the difference in.
Business Intelligence
ACS1803 Lecture Outline 2 DATA MANAGEMENT CONCEPTS Text, Ch. 3 How do we store data (numeric and character records) in a computer so that we can optimize.
Sayed Ahmed Logical Design of a Data Warehouse.  Free Training and Educational Services  Training and Education in Bangla: Training and Education in.
IST722 Data Warehousing Business Intelligence Development with SQL Server Analysis Services and Excel 2013 Michael A. Fudge, Jr.
2014 Reliance Manufacturers Rep Meeting AGENDA: Customer Relations Overview Manufacturers Rep Expectations Overview Quarterly Review Discussion Commission.
MSF Requirements Envisioning Phase Planning Phase.
Do it pro bono. Strategic Scorecard Service Grant The Strategy Management Practice is presented by Wells Fargo. The design of the Strategic Scorecard Service.
Becoming a Great Project Manager Gini Courter Annette Marquis TRIAD Consulting.
Ch 3 & 4 Project Planning & Management. What We Must Do Define: determine scope and specifications. Plan: break the project into pieces that can be assigned.
ISM 5316 Week 3 Learning Objectives You should be able to: u Define and list issues and steps in Project Integration u List and describe the components.
Chapter 1 Adamson & Venerable Spring Dimensional Modeling Dimensional Model Basics Fact & Dimension Tables Star Schema Granularity Facts and Measures.
DW Toolkit Chapter 1 Defining Business Requirements.
INVENTORY CASE STUDY. Introduction Optimized inventory levels in stores can have a major impact on chain profitability: minimize out-of-stocks reduce.
3 1 Project Success Factors u Project management important for success of system development project u 2000 Standish Group Study l Only 28% of system development.
DIMENSIONAL MODELING MIS2502 Data Analytics. So we know… Relational databases are good for storing transactional data But bad for analytical data What.
Basic Model: Retail Grocery Store
3 Defining the Business and Logical Models. Designing the Conceptual Model Phase I: Functional and Nonfunctional Requirements.
IFS310: Module 7 Business Requirements Statement Interpersonal Skills and Communications.
Designing a Data Warehousing System. Overview Business Analysis Process Data Warehousing System Modeling a Data Warehouse Choosing the Grain Establishing.
Physical Design Michael A. Fudge, Jr.
UNIT-II Principles of dimensional modeling
12/4/ OBIEE Technical Conference Getting Started with a Dashboard Development Project Theresa May.
CMPE 226 Database Systems October 21 Class Meeting Department of Computer Engineering San Jose State University Fall 2015 Instructor: Ron Mak
1 Agenda – 04/02/2013 Discuss class schedule and deliverables. Discuss project. Design due on 04/18. Discuss data mart design. Use class exercise to design.
Pooja Sharma Shanti Ragathi Vaishnavi Kasala. BUSINESS BACKGROUND Lowe's started as a single hardware store in North Carolina in 1946 and since then has.
Defining Project Scope Research has demonstrated that a clearly defined project scope is a major component of project success. A clearly defined project.
Lesson 9: Types of information system. Introduction  An MIS is a decision support system in which the form of input query and response is predetermined.
June 08, 2011 How to design a DATA WAREHOUSE Linh Nguyen (Elly)
IS2210: Systems Analysis and Systems Design and Change Twitter:
Project Management Processes for a Project Chapter 3 PMBOK® Fourth Edition.
The Need for Data Analysis 2 Managers track daily transactions to evaluate how the business is performing Strategies should be developed to meet organizational.
Building the Corporate Data Warehouse Pindaro Demertzoglou Data Resource Management.
DW Toolkit Chapter 1 Defining Business Requirements.
Building the Corporate Data Warehouse Pindaro Demertzoglou Lally School of Management Data Resource Management.
Atlantic Coast Operations Business Intelligence Mobility Project.
CIS 170 MART Teaching Effectively/cis170mart.com FOR MORE CLASSES VISIT HCIS 410 AID Inspiring Minds/hcis410aid.com FOR MORE CLASSES.
CMGT 410 aid Education Begins/cmgt410aid.com
Project Management & Requirements Gathering Michael A. Fudge, Jr.
An Refresher and How-To Profile Data using SQL
Star Schema.
Applying Data Warehouse Techniques
Overview and Fundamentals
Competing on Analytics II
Inventory is used to illustrate:
Retail Sales is used to illustrate a first dimensional model
Applying Data Warehouse Techniques
MIS2502: Data Analytics Dimensional Data Modeling
Applying Data Warehouse Techniques
MIS2502: Data Analytics Dimensional Data Modeling
Warehouse Implementation Lifecycle Project planning
Retail Sales is used to illustrate a first dimensional model
Review of Major Points Star schema Slowly changing dimensions Keys
Technical Architecture
Review of Major Points Star schema Slowly changing dimensions Keys
Presentation transcript:

IST722 Data Warehousing Project Management & Requirements Gathering Michael A. Fudge, Jr.

Please arrange into your project teams.

Todays’ Agenda: Learn how to get started with a data warehousing initiative…. We’ll use the Kimball Approach….

Recall: Kimball Lifecycle

Some Kimball Terminology Program – Collection of coordinated projects Several Data marts will be created. Ex. Sales BI program: Build data marts for internet sales, store sales, and partner sales. Project – Single iteration of the entire cycle. Encompasses a business process which results in a data mart. Ex. Build a data mart for internet sales

The Relationships between: Programs, Projects, and Data Marts. ProgramProjectData Mart Contains one or more… Implemented as one or more… Each project team will work on one project within the same program.

Is Your Organization Prepared To Take This On? First you must assess your organization’s readiness: Do you have strong support from upper management? Is there a compelling business motivation behind the initiative ? It is technically feasible with the resources and data you’re given? Your answer to these questions should beYES

Group Activity: Choose a project GroupProject A B C D E F G H TODO: Remember: you’re all working on the same program. Each of you needs to identify a project you will work on, based on the data in ExternalSources Each group should select a different project.

Planning Activities The Charter Define the project background Set project scope and boundaries (what’s excluded). Identify success criteria for the project State the business justification Assemble the Project Team (at minimum) Business Lead - In charge of initiative Project Manager – Manages project Business Analyst – Collects requirements Data Architect – Dimensional Modeling / Implementation ETL Architect – ETL Design / Implementation BI Architect - BI Design / Implementation

Group Activity: Charter and team TODO: Write up your charter for the chosen group project. Select primary roles for each team member. Each team member should have 2 roles. The Charter Define the project background Set project scope and boundaries (what’s excluded). Identify success criteria for the project State the business justification The Project Team Business Lead - In charge of initiative Project Manager – Manages project Business Analyst – Collects requirements Data Architect – Dimensional Modeling / Implementation ETL Architect – ETL Design / Implementation BI Architect - BI Design / Implementation

Planning Activities Establish a Communication Plan How will you keep stakeholders informed? How often and in what form will you meet? Who needs to be present at which meetings? Create your Project Plan and Task List Track issues using a change log or issue tracking system. Hold a Kickoff meeting to get everyone on the same page.

Requirements Gathering

Key Activities of Requirements Gathering Interviews with business users. Data Audits – data profiling to assess capabilities of data sources. Documentation, including Interview Write-ups Identify Business Processes Enterprise Bus Matrix Prioritization Grid Issues List

Sample Interview Questions What type of routine analysis do you perform? What data is used and where do you get it? What do you do with the data once you get it? Which reports do you use? Which data on the report is important? If the report were dynamic what would it do differently? Describe your products. How do you distinguish different products? How are they categorized? Do categories change over time?

Data Profiling One important activity is to explore your existing data to get a sense of Technical feasibility of the project Structure and condition of data Availability of Data Sources We call this Data Profiling If the source data is in a relational database, you can use the SQL SELECT statement to profile data. For other sources, Microsoft Excel makes for a good data profiling tool.

Data Profiling Example You can use tools like Excel to profile your data, searching for useful dimensions and facts. By Country By Year Total Sales

Critical Skill: Turn business processes into dimensional models! Here’s the process for building a dimensional model from a business process. This dimensional model will eventually become a star schema in your enterprise data warehouse. 1.Identify the business process and business process type. 2.Identify the facts of the business processes. 3.Identify the dimensions of the business process.

Business User Says: Demo of my amazing modeling skills!!!! Facts are the business process measurement events Dimensions provide the context for that event. “I need to know: How many sneakers did we sell last week?” Quantity (Fact) Product Type (Attribute of a Product Dimension) Duration of Time (Attribute of a Sales Date Dimension) Business Process (Sales) What I hear

#1: Identifying Business Processes 3 types: 1.Events or Transactions 2.Workflows a.k.a. Accumulating Snapshots 3.Points in time a.k.a Periodic Snapshots Business processes contain facts which we use end up being the fact tables in our ROLAP star schemas. Transaction Accumulating Snapshot Periodic Snapshot

Transaction Fact The most basic fact grain One row per line in a transaction Corresponds to a point in space and time Once inserted, it is not revisited for update Rows inserted into fact table when transaction or event occurs Examples: Sales, Returns, Telemarketing, Registration Events

Accumulating Snapshot Fact Less frequently used, application specific. Used to capture a business process workflow. Fact row is initially inserted, then updated as milestones occur Fact table has multiple date FK that correspond to each milestone Special facts: milestone counters and lag facts for length of time between milestones Examples: Order fulfillment, Job Applicant tracking, Rental Cars

Periodic Snapshot Fact At predetermined intervals snapshots of the same level of details are taken and stacked consecutively in the fact table Snapshots can be taken daily, weekly, monthly, hourly, etc… Complements detailed transaction facts but does not replace them Share the same conformed dimensions but has less dimensions Examples: Financial reports, Bank account values, Semester class schedules, Daily classroom Lab Logins, Student GPAs

Group Activity: Which Fact Table Grain? 1.Concert ticket purchases? 2.Voter exit polls in an election? 3.Mortgage loan application and approval? 4.Auditing software use in a computer lab? 5.Daily summaries of visitors to websites? 6.Tracking Law School applications? 7.Attendance at sporting events? 8.Admissions to sporting events at 15 minute intervals? Transaction Accumulating Snapshot Periodic Snapshot

Answers: Which Fact Table Grain? 1.Concert ticket purchases? T 2.Voter exit polls in an election? T 3.Mortgage loan application and approval? AS 4.Auditing software use in a computer lab? T 5.Daily summaries of visitors to websites? PS 6.Tracking Law School applications? AS 7.Attendance at sporting events? T 8.Admissions to sporting events at 15 minute intervals? PS Transaction Accumulating Snapshot Periodic Snapshot

#2 Identify the facts of the business process. Facts are quantifiable numerical values associated with the business process. How much? How many? How long? How often? If its not tied to the business process, its not a fact. For example: Points Scored == Fact, Player He

3 Types of Facts Additive - Fact can be summed across all dimensions. The most useful kind of fact. Quantity sold, hours billed. Semi-Additive - Cannot be summed across all dimensions, such as time periods. Sometime these are averaged across the time dimension. Quantity on Hand, Time logged on to computer. Non-Additive - Cannot be summed across any dimension. These do not belong in the fact table, but with the dimension. Basketball player height, Retail Price

Group Activity: Facts or Not?? Additive? Semi? Non? 1.Number of page views on a website? 2.The amount of taxes withheld on an employee’s weekly paycheck? 3.Credit card balance. 4.Pants waist size? 32, 34, etc… 5.Tracking when a student attends class? 6.Product Retail Price? 7.Vehicle’s MPG rating? 8.The number of minutes late employees arrive to work each day.

Answers: Facts or Not? Additive? Semi? Non? 1.Number of page views on a website? F/A 2.The amount of taxes withheld on an employee’s weekly paycheck? F/A 3.Credit card balance. F/S 4.Pants waist size? 32, 34, etc… N/A 5.Tracking when a student attends class? F/A 6.Product Retail Price? N/A 7.Vehicle’s MPG rating? N/A 8.The number of minutes late employees arrive to work each day. F/A

#3: Identify the Dimensions Dimensions provide context for our facts. We can easily identify dimensions because of the “by” and/or “for” words. Ex. Total accounts receivables for the IT Department by Month. Dimensions have attributes which describe and categorize their values. Ex. Student: Major, Year, Dormitory, Gender. The attributes help constrain and summarize facts.

Group Activity: Try these Identify: Business Process, Fact and Dimensions 1.What’s the total amount of product shipped by sales region for ? 2.What’s the average time in days for a student’s application to be processed? 3.How many employees wait more than 15 minutes for a bus to the Manley parking lot?

Q:How do you document this? A: Enterprise Bus Matrix A key deliverable from requirements gathering, the bus matrix documents your business processes, facts and dimensions across all projects in your program.

Group Activity: Bus Matrix TODO: Identify the business processes, facts and dimensions for your group’s business process. Your prof will create an enterprise bus matrix based on the entire program. Identify Business Processes Transaction Periodic Snapshot Accumulating Snapshot Identify Facts of the business process Should be Additive, or at least Semi-Additive Identify the dimensions used by the business process

Prioritization Grid

Requirements Analysis Checklist Identify each Business Processes with fact grain type. Transaction Periodic Snapshot Accumulating Snapshot Identify the facts and dimensions of each business process. Create an Enterprise Bus Matrix – Outline which dimensions go with which facts. Should be based on the data you have (profiling) Create a Bubble Chart – Depicts which dimensions are used by which business processes (facts). Create a Prioritization Grid – Establish priority for each business process.

In Summary The initial phases of the Kimball Lifecycle are project planning and requirements analysis. First your organization must assess its readiness to take on the project. In the project planning phase you should establish the project charter and assemble the team. In the requirements phase you should interview business users, conduct data audits, and write up documentation. You documentation should include an enterprise bus matrix to layout business processes & conformed dimensions and a prioritization grid high- value targets.

IST722 Data Warehousing Project Management & Requirements Gathering Michael A. Fudge, Jr.