reducing tool costs
DESCRIPTION
Eliminate redundant tools. Reduce recurring costs.TRANSCRIPT
© 2013 Kalido I Kalido Confidential I April 8, 202311
Session Topic: Reducing Tool Costs
Eliminate redundant tools. Reduce recurring costs.
© 2013 Kalido I Kalido Confidential I April 8, 20232
Traditional Data Warehouse Build
Master Data Governance and Stewardship
Schema Management
Model and Metadata Management
Workflow ProductsData Profiling CDI MDM Tools PIM MDM Tools
OperationsData Integration
ETL Tools
Modeling Tools Metadata Repositories
Modeling Tools
Process Automation
Task Execution and Monitoring
Deployment and Migration
Archiving
Restore for Model and Data
Undo Loads
Audit and Logging
Presentation
Metadata Management for BOBJ
Native XLS Pivot Table Generation
Native QlikView Generation
Metadata Management for MSAS
Metadata Management for COGN
MDM Consumer Interface
Report-Time Formula Management
© 2013 Kalido I Kalido Confidential I April 8, 20233
Model-Driven, Best Practices-based, Automation
Master Data Governance and Stewardship
Schema Management
Model and Metadata Management
Hierarchy Management Workflow and SecurityData Profiling and Validation Data Authoring
Controlled PublicationIdentity Management
Auto-generated Application
Browse and Search Full History and Audit TrailsAuto Match and Merge
OperationsData Integration
Data Validation
Suspense and Exception Handling
Data Sourcing and Field Mapping
Delta Detection
Surrogate Key Management
Code Management and Lookup
Currency and UoM
Graphical Modeling
Model FederationMulti-GranularitySub-typing and Inheritance
Composite EntitiesRagged Hierarchies Change ManagementKPI Management
Business Metadata Classification Hierarchies
Star and Snowflake Schema
Physical Schema Management
Slowly Changing Dimensions
Data Mart and Aggregates
Data Load and Index Management
Rollup Path Awareness
Incremental Summary Generation
Process Automation
Task Execution and Monitoring
Deployment and Migration
Archiving
Restore for Model and Data
Undo Loads
Audit and Logging
Presentation
Metadata Management for BOBJ
Native XLS Pivot Table Generation
Native QlikView Generation
Metadata Management for MSAS
Metadata Management for COGN
MDM Consumer Interface
Report-Time Formula Management
Automated
© 2013 Kalido I Kalido Confidential I April 8, 20234
Kalido Business Information Model - Cutaway
Transactions
Measures
Contextual ObjectsReference dataMaster data
Attributes
Dimensions
© 2013 Kalido I Kalido Confidential I April 8, 20235
The Traditional Modeling Approach
Conceptual Model
BusinessRepresentative
Data Architect
Logical Data Model
BusinessDictionary
Physical Data ModelStaging Normalised Star Schema Data Mart
DBA
BusinessAnalyst
Sources Physical Schema & Data
ETL
ETL
Staging
ETL
Normalised Star Schema Data MartETL
ETL
ETL
ETL
ETL
ETL
BI Layer
Developer
BI Developer
Business Requirements
© 2013 Kalido I Kalido Confidential I April 8, 20236
Software Automation Transforms The Model Into Metadata That Automates Warehouse Creation
A Kalido Information Engine is
deployed by pressing “Start” and
letting the Kalido software
automatically structure the tables
and generate the BI semantic layer.
© 2013 Kalido I Kalido Confidential I April 8, 20237
Metadata Repositories
1. Can be invasive to the development process2. Big initial push, but often get out of date and stop being used3. Project runs out of time and ‘metadata and documentation’ pushed
to future phase that never comes4. Silos of metadata (spreadsheets, ETL focused repositories, glossaries)5. Become “write only” databases
© 2013 Kalido I Kalido Confidential I April 8, 20238
Metadata in Kalido – Starts in BIM
© 2013 Kalido I Kalido Confidential I April 8, 20239
Model to Reporting
BI, Reporting, Analysis
Cognos Framework
Manager
Universal Information Director
Data MartGeneration
TimeYear
Day
Month of Year
Day of Week
Day of Month
Finance
Account
J ournal Entry
Asset ClassGeneral Ledger
Column
Product
Product
Product Subgroup
Product Group
Product Category
Product Class Packaging
Sales RevenueMargin Deductions
►Amount
Gross Sales
►Amount
I nternal Organization
Employee
Field EmployeeHeadquarters
Employee Contractor
Department
Corporation
Division
Quarter
Quarter of Year
Month
Kalido Warehouse
Sourcethe Business Metadata
Translate Business Model to Semantic Definitions - Set scope - Define hierarchy - Interpret time variance - Select paths - Generate aliases
Automatically Generate Semantic Layer
Update and Maintain the Semantic Layer
Business Objects
Universe
Microsoft Analysis Services
© 2013 Kalido I Kalido Confidential I April 8, 202310
ETL: A Traditional Warehouse Takes 12-18 Months
80% of the project effort is invested in Data Integration, Testing, Modeling, BI Development and Release to Production processes
© 2013 Kalido I Kalido Confidential I April 8, 202311
Source: customer benchmark
Kalido Reduces ETL
Traditional DW vs. Kalido Agile Approach
Tim
e &
Mo
ney
65% Reduction in Data Integration
20% Reduction in Data Access/BI vs. Traditional
KalidoTime To
Value Zone
© 2013 Kalido I Kalido Confidential I April 8, 202312
Summary of ETL Sunsetting
ETL primarily for data sourcing– Exceptions for your most complex derivations, calculations
still easier by modeling/automating component parts still managed within Kalido in value-added loop for consistency,
easy change/extend, mart/BI generation, and re-use
50-75% reductions in ETL work
Dramatic impact on– Delivery acceleration– Ease of change/agility– Ease of maintenance– Risk of business change, incomplete requirements, etc.– Overall TCO
© 2013 Kalido I Kalido Confidential I April 8, 202313
Multiple MDM Domain Support
Manage all types/domains of master data
Handles EVERY master data domain – such as organization, channel, supplier, KPI, employee
Not limited to just product data or just customer data
Generic data model
Objective
Capabilities
BenefitsA single tool for all types of master dataConsistency as domains are addedEasy for IT to support and maintain
Objective
Anheuser-Busch InBev manages more than 250 classes of data
All of Kalido MDM customers manage more than one “major” data domain
Customer Examples
© 2013 Kalido I Kalido Confidential I April 8, 202314
Sophisticated Modeling
Ensure relationships between master data domains can be created and managed
Supertyping and subtyping
Business rule definition and management
Data validation rules
Accessibility by both IT and business users
Objective
Capabilities
BenefitsEasily handles the many complex data relationships between entitiesCommon understanding between IT and line of business end users
Objective
A Components Distributor uses Kalido to manage complex product hierarchies. They serve as a broker between suppliers and customers. A single part may be supplied by multiple suppliers, each with their own part numbers. It may also be used by multiple customers, also with their own part numbers.
Customer Example
© 2013 Kalido I Kalido Confidential I April 8, 202315
Workflow
Automate and drive the data stewardship process when people need to make decisions
Flexible, robust built-in workflow routes master data validation actions to specific users or groups for human resolution
Flexible and comprehensive “state” transition steps
Change workflow routing based on context
Controllable via API for exits to external code modules for the most complex workflows
Easily manages increasingly complex governance and stewardship processes
Objective
Capabilities
BenefitsAutomated data stewardship process saves time and effortFocuses data stewards on only resolving exceptions
Objective
A UK media company includes 14 different departments in the lifecycle of master data, requiring extremely complex workflow
Customer Example
© 2013 Kalido I Kalido Confidential I April 8, 202316
Tool Elimination Summary
ER Modeling Tools
Metadata Management Tools
ETL Tools
MDM Products and/or Workflow Products
Initial purchase cost and on-going annual product maintenance for all of these tools can be significant!
© 2013 Kalido I Kalido Confidential I April 8, 202317
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