how to create a data warehouse success strategy

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  • 8/8/2019 How to Create a Data Warehouse Success Strategy

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    How to Create a Data Warehouse Success Strategy

    A benefit-based approach to a data warehouse project can be boiled downto a list of bullet points

    InfoManagement Direct, October 29, 2009

    Rafiq RasulSuccess with a data warehouse project is a challenge due to the size, complexity and diverserequirements. The quality-driven success strategies outlined here address and resolve this challenge.

    y Determine data warehouse project objectives:

    y Deliver significant benefits on time.

    y Minimize defect, fault, rework and avoid disaster.

    y Measure and manage performance, and improve benefits.

    Find DW quality drivers:

    y Prevent defect or fault, and save after-the-fact costly rework.

    y Identify and mitigate risk before the fact.

    y Address or eliminate issues, and avoid costly after-the-fact resolution.

    y Reduce the need to change and use change control.

    Seek quality-driven DW benefits:

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    y Improve customer service and increase customer satisfaction.

    y Boost marketing and selling capabilities and increase competitive advantage.

    y Reduce cost, effort and resource utilization.

    y Streamline processes and develop more efficient management tools.

    y Make jobs easier, less stressful and raise employee productivity.

    Establish DW project success strategies:

    y Help sponsors be informed, accepting of problems, and willing to devote time to the project and

    make quick decisions.y Prepare to articulate and execute deliverables in very complicated, multi-faceted environments

    involving diverse skills.

    y Map project objectives to the enterprise mission and get buy-in from stakeholders.

    y Complete due-diligence in all areas: scoping, estimating, budgeting, scheduling, staffing, skills-adequacy, dirty data, DW design, architecture, infrastructure and project governance.

    Set DW project management success strategies:

    y Adhere to a discipline project management approach.

    y Plan with participation, inspire ownership and execute in pieces.

    y Time-box activities, assign ownership, track delivery and recognize good performance.

    y Run parallel activity tracks while coordinating teams and deliverables.

    y Deep-dive in all areas of the project and ensure quality delivery.

    Ensure success through active DW project manager roles:

    y Plan, execute and monitor budget.

    y Get access to sponsors, stakeholders, team members, users, customers and service providers.

    y Communicate the truth in a timely manner and be persuasive.

    y Take a key role in scoping, estimating, staffing, assessing skills-adequacy, cleansing dirty dataand establishing the DW design, architecture and infrastructure.

    y Establish strong and direct control procedures and track performance.

    y Review work in progress daily, adjust tasks and deliverables, assign new tasks, run teaminterfaces and organize stakeholder review sessions.

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    y Do cost-benefit analysis of data cleansing and impact analysis on requested changes.

    y Deep-dive in all areas of the project and change directions to succeed when facing roadblocks.

    Capitalize on strengths of the DW project manager he/she must:

    y Earn support from stakeholders, respects technologists and inspires quality delivery.

    y Be skilled in quality and process, defect/fault reduction, risk mitigation and issue resolution.

    Avoids operational disasters.

    y Understand business value of data, analysis, reporting and impact on decision-making.

    y Understand data warehouse architecture and customer service.

    y Understand data technically, and knows when data is correct, accurate, consistent, complete,integrated and follows business rules.

    y Understands the cost of data cleansing and metadata. (Note: 70 to 80 percent of the effort may bein data cleansing and transforming from source to target.)

    y Envision from 50 feet up, be experienced to work 100 feet wide, and be skilled to deep-dive 10feet in the trenches with technologists.

    y Deep-dive in all areas of the project: requirements, data, source, target, data modeling, DWdesign, architecture, database, data, ETL (extract, transform and load), testing, end-user training,implementation, infrastructure support, continuity of business to performance metrics andcustomer satisfaction surveys.

    Review the DW benefits:

    1. Increase number of customers:

    y Recruit and retain more customers enabled by information available on relationships, accounts,activities, channel utilization and demographics.

    y Identify marketing opportunities for products and services by analyzing existing and potentialcustomers.

    y Enroll and retain more customers by giving them access to information on accounts, products andservices

    2. Increase revenue:

    y Cross-sell to customers by relationships, accounts, activities, channel utilization, demographics,revenue and fees.

    y Market to potential customers by measuring revenue, profit, channels available and customerdemographics.

    y Collect on loans and generate more loans enabled by information on customers.

    3. Increase productivity:

    y Increase productivity by enabling analysts and users to create their own reports.

    y Save time producing reports for government or other agencies.

    y Save 50 to 90 percent of analysts time in gathering data, now available from one source.

    4. Control cost:

    y Understand and control service and customer costs by account type, channel and activities.

    y Control inventory and negotiate with suppliers and vendors on services, outsourcing and capitalexpenditures.

    y

    Detect fraud by searching internally and externally and analyzing better HR information.5. Intangible benefits:

    y Store accepted, consistent data definitions and make them available to users.

    y Produce consistent reports and answers to queries.

    y Set up effective reporting procedures with more data and better quality of information.

    y Boost decision-making capabilities, both operational and strategic.

    y Reduce reluctance to make decisions with timely information available on demand.

    y Improve morale as employees are more comfortable with their decisions, take greater pride intheir work and have the tools to do a better job.

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    y Provide better service from the customers perspective using enhanced information.

    y Analyze alternative business strategies by running what-if scenarios.

    y Save time and effort with one easy-to-access data source.

    Rafiq Rasul Rafiq Rasul, PhD, PMP, is an independent consultant. Contact at [email protected] or call

    (614)638-2686.For more information on related topics, visit the following channels:

    y DW Basics