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Logical Data Warehouse - Solution Workshop

Solution Architecture Workshop with complete life cycle of Architecting LDW solutions. It showcases how Data Virtualization enables the agile LDW layer, with a full lifecycle case approach.

The workshop showcases how an agile LDW with Data Virtualization can provide the foundation for enabling the Digital Transformation and Real time Analytics in the era of distributed and disparate Big Data sources.

This workshop provides End to End Practitioner perspectives of enterprise class EDW/LDW implementations around security, performance, business user self-service, and more.

The workshop is offered in collaboration with Denodo, the leader in Data Virtualization. This one day workshop is offered as Instructor Led online workshop, with two half day sessions. The workshop coverage will include the following topics:

  • Business need for LDW in the era of Digital TransformationLDW denodo agenda
  • Practitioner perspectives of Adoption of BI in enterprises 
  • Associated Challenges in BI adoption and how to address them
  • Shifting DW Trends and SMAC impacts
  • Introduction to LDW with Architecture and Use-case perspectives
  • LDW Architecture Patterns with Business Use Cases of LDW in functions & Industries
  • Architecture building blocks, design patterns and solution architecture alternative evaluations 
  • Participant Use case scenarios, based on LDW and Digital Transformation
  • LDW Business Case solution with architecture scenarios
  • Solution Architecture Alternatives and validation approaches
  • Solution Demo with Modern Data Sources, with end to end lifecycle case

Upcoming Courses and Registration Links

For more information, please visit the workshop url Logical Data Warehouse - Solution Workshop or reach out through the contact us link on the workshop page or email us at info at compegence dot com

Workshop Registration
Current A/C Number 04921010002887 in the name of COMPEGENCE
IFSC / RTGS Code: SYNB0000492
Beneficiary Bank: Syndicate Bank, Doddakallasandra Branch, Bangalore
Provide the Transaction reference number with your bank / branch name
Rs 12500 + ST @ 12.36% for Regn before June 10th (14045)
Rs 13500 + ST @ 12.36% for Regn after June 10th (15169)
(Please add Rs 1000 for Deferred Invoice Payments)(15045 or 16169)
Enter PO Number and Company Name in case of Invoice
Enter PO Number and Company Name in case of Invoice
Management of Technology for Business Success
Managing for Success
·         Dynamics of Technology Management – Birds Eye View
·         Stakeholder Management
·         ROI and the Value proposition, Measuring Success
·         Speed, Agility, Flexibility, Scalability
·         Project and Program Management
Spend Decisions
·         Build vs. Buy vs. SAAS
·         Core vs. Non core decisions
·         Business Systems Architecture View
·         Manageability and Simplicity
·         Self Service and the Power User Community
Landscape Changes
·         Technology landscape changes
·         Business landscape changes, Impacting Technology Choice
·         Competitive landscape changes, Impacting Technology Choice
·         Customer landscape changes, Impacting Technology Choice
Team work: Identify Landscape changes in a business of your choice
Risk, Compliance and Governance
·         Risk Mitigation and Management
·         Compliance Requirements
·         Ensuring Compliance
·         Governance Methodologies

Technology Landscape Awareness

·         Foundation and Concepts
·         Operational agility and best practices
·         Keeping up with the trends vs. hype cycles
·         Identifying Consolidation and End of Life Opportunities
Team work: Technology Changes in the last two years that have impacted business competitiveness, in the industry of your choice
Creating win-win partnerships and roadmap with buy-ins
·         Why Technology and IT Projects fail
·         Understanding the operational success
·         Measuring and Managing the Operational Technology
·         Understanding the competitive differentiation
·         Measuring and Managing the Differentiator Technology
·         How to create shared success, An example Roadmap
 Financials of the Technology Management
·         Capex vs. Opex, Knowing the Financial Significance
·         Depreciation vs. Replenishment
·         Technology budget as a % of Total Capex/Opex budget
·         Peer Comparison
·         Creating Product and Service Partnerships
Industry Standards: Why, How and Adoption Curve
·         Technology Industry Standards that impact the Business
·         Knowing, Evaluating and Deciding on the Relevance of the standard
·         Adoption of the Standard – When is it right for my Organization
Group Ideas Capture
·         Additional Learning Sources
·         Knowledge share activities
·         Work in groups to list the “Differentiator” in different industry segments”
·         Open Discussion and Q&A

Analytical Customer Centric Marketing

Interconnected Business World, coupled with Customer Centricity, is resulting in uncompromising demand for speed, Agility and Flexibility. The best way to put distance between the BEST (as a manager and professional) and the REST is to do an outstanding job with the information, in decision making. How one gathers, manages, and uses information will determine how successful the managers of today and tomorrow will be.

Ever wondered how many true, profitable customers you have? Wish you knew which of your products are making money and which ones aren’t? Wished you knew little more about your customers and the market trends?  Welcome to the seemingly complex world of marketing optimization. “Competing with Analytics” and “Data driven Analytical Marketing” is no longer a choice, it is a necessity in today’s information enabled world.

This workshop helps you understand the basics of Analytical Marketing, with a walk-through of the complete Analytical Marketing life cycle, case study and experiential industry case studies.

Understanding the Changing Business Landscape

  • Changing Business Context in the Information Enabled World
  • Data Explosion and Information Complexity
  • Customer Centric Business World
  • Changing Information needs for the Business Decision Lifecycle

Demand Side focus and Customer Centricity

  • Demand side focus (Push) vs. Supply side focus (Pull)
  • Customer centric decision life cycle

Introduction to Customer Life Cycle

  • Customer Life Cycle
  • Customer Life Stage
  • Lead, Prospect
  • Acquisition
  • On-boarding
  • Service experience
  • Cross Sell and Up Sell
  • Retention
  • Churn and Exit experience

Customer One View

  • Integrated One View of the Customer
  • Customer Data Points
  • Marketing and Analytical Variables
  • Tool and Technology Nuances

Data Sanity and Importance of Clean Data

  • Data Cleansing and enrichment
  • Internal Data and External Data (Competition, Market Size, Brand)
  • Macro-economic Data

Effective Decision Making

  • Alerts and Exceptions
  • Events, Triggers, Interactions & Touch-points
  • Drag and Drop Analysis
  • Exploratory Analysis
  • MIS, Reports, Dashboards

Marketing Analysis and Analytics

  • Marketing Analysis Variables
  • Customer behavior – derived and inferred
  • Events and Triggers
  • Customer Profiling and Segmentation
  • Cross Sell and Up Sell

Campaign Management Life Cycle

  • Introduction to Managed Campaign Life Cycle
  • Targets and Segmentation Trees
  • Defining Multi-Channel, Multi-Stage Campaigns
  • Automation, Scheduling and Execution
  • Track, Refine and Manage
  • Seasonal Promotions and Campaigns

Leveraging Internet and Social Marketing

  • Lead Generation
  • Customer Experience
  • Customer Interaction
  • Brand Building

Typical Marketing Analytical Models

Acquisition:

Lead Scoring

Contact Strategy

Conversion and On-boarding

Nurture

Segmentation and Profiling

Behavioural Score Carding

Life Time Value

Cross Sell and Up Sell

Affinity and Market Basket Analysis

    Loyalty Management

Retention

Retention score

Churn Prediction

            Modeling: Methods and Methodologies

Translating Analytics into Marketing Actions

  • Case Studies and Examples
  • Analytics with Actionable Intent
  • Defining the right KPIs and Metrics
  • Managing with Exceptions

Case Study work-through example

Learnings from the Trenches

Real Life Scenarios and Interactive Discussion

Growing Data Volumes, Information Overload and Interconnected Processes (& Enterprises) are adding to the decision making challenges of today's manager.
The BI architecture is important to business leaders because it can promote — or obstruct — the launch of new processes, products, and channels. In service sectors such as banking, retail, logistics, and telecommunications, IT is the competitive differentiator. Operating with Information Excellence is not an option, but a necessity for today's young and emerging managers.
This workshop helps the “Information Systems” Managers understand the foundations of Information Architecture and effectively Managing Business Intelligence for Corporate Success.
Understanding the Changing Business Landscape

      Changing Business Context in the Information Enabled World
      Data Explosion and Information Complexity
      Customer Centric Business World
      Changing Information needs for the Business Decision Lifecycle
Managing for Success
·     
          Project  and Program Management
·         Stakeholder Management
·         ROI and the Value proposition
·         Speed, Agility, Flexibility, Scalability
Spend Decisions
·     
          Build vs. Buy vs. SAAS
·         Core vs. Non core decisions
·         Business Systems Architecture View
·         Manageability and Simplicity
·         Self Service and the Power User Community
Landscape Changes
·     
          Technology landscape changes
·         Business landscape changes
·         Competitive landscape changes
·         Customer landscape changes
Technology Awareness
·         Foundation and Concepts
·         Operational agility and best practices
Being at the edge
·         Additional Learning Sources
·         Knowledge share activities
Introduction to Data Warehousing:
·         Business Decision Life Cycle
·         Technology Landscape, why DWH
·         DW Concepts and Fundamentals
·         Business Goals, KPIs and Metrics
Dimensional Modeling
·         Star Schema Introduction
·         Facts, Dimensions, SORs, MDMs
·         Modeling refresher – ER Modeling
·         Design / Modeling considerations
·         Constraints and Trade Offs
Business Entity and Dimension of Business Performance
Process and Information Lifecycle
·         Business Functions &Subject Areas
·         Process Flow Diagrams
·         Source, Target, ETL, Business Rules
·         Granularity Matrix
Data Operational Life Cycle
·         Scheduling and Reconciliation
·         Latency vs. Real time
·         Data Quality and Data Gaps
·         Interfaces and Dependencies
Effective Decision Making
·         MIS, Reports, Dashboards
·         Alerts and Exceptions
·         Drag and Drop Analysis
·         Exploratory Analysis
Case Study with the industry
·         Business Case & Goals
·         Data Understanding
·         KPIs, Metrics, ETL, Deploy
·         Reports an d Dashboards
·         Review and Refine
Case Study work-through example
Learnings from the Trenches
Real Life Scenarios and Interactive Discussion

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