The occurrence of the COVID-19 disaster has coerced global enterprises to focus on data management for growth.
The shifting of priorities to data management is here to stay as organizations seek to meet current needs, ensure they are preparing for 2021, and create future crisis scenarios for the unknown.
About the blog author
- Diligent executive project manager offering a proven record of success leading all phases of diverse technology projects; business transformation leader with more than 25 years of project management experience, and a financial executive, leading to being Assistant Deputy Commissioner the City of Boston.
- As a business strategist, I planned and managed multimillion-dollar projects aligning business goals with technology solutions to drive process improvements, competitive advantage, and bottom-line gains; Collaborated with multiple customer entities to conceptualize and implement innovative manufacturing processes, cost-saving supplier metrics, and digital enablement road-maps.
- An influential visionary with an empowering and motivational leadership style that brings out the best in all project participants, both internal and client staff, creates alliances to achieve business goals, and quickly turns negative financials into positives.
My LinkedIn profile is at https://www.linkedin.com/in/bjmartinez/.
Develop your data management strategy
- Moving your data efficiently
- Determine what team members and SMEs should participate in evolving your data management strategy.
- Budget for expert consultation unless you have Migration Specialists on staff.
- Obtain requirements from your SME Team for design requirements.
- Backup your source data before beginning your migration and continue backing up daily during the migration project.
- Decide on scheduling your “Trickle” (phased) migration, which tests each phase before moving to the next.
- Ask your SME team what impact these migrations will have on routine processing.
- Convey the project plan, schedule, and impacts with your people.
- Be prepared to answer questions and address concerns.
- Assign the appropriate SME to each phase of the migration.
- Conduct testing lead by your phase SME.
- Audit the data for each phase and fix any issue.
- Invest in automated data migration software to validate data integrity and report issues.
- Institute governance controls and analytics for your new environment.
- Continuously monitor the migrated environment for a month before shutting down your legacy systems.
- Measure post-implementation productivity and use analytical tools to evaluate optimization.
- Reward contributions and team improvements.
- Unifying siloed data
- Obtain DataOps software to accelerate data delivery and reduce delays.
- Examine data collection methods and tools already in use.
- Determine how to merge multiple systems.
- Implement standardization across your entire business before proceeding.
- Develop a roadmap for getting to your desired state.
- Check security and regulatory compliance requirements.
- Follow the post-implementation steps above.
- Perfecting your data collaboration
- Encourage cross-departmental communication to promote interdepartmental harmony.
- Foster your new culture of collaboration.
- Develop KPIs to measure your performance and improvements.
- Reward teams for their successes.
- Promote new opportunities and ideas for business expansion and cost-reduction.
Your Data management aims to give you reliable and quickly accessible data through which decisive action will occur. Your payoff is a significant improvement in market positioning and profitability!
Plan! Adapt! Manage! Succeed!
AccuComp Enterprises collaborate with business and technology leaders to support the formulation and execution of transformational strategies.
Together, as your business partner, we can achieve your intended business outcomes by bringing the best of process re-engineering, technology experiences, and advanced business analysis.
Contact us at firstname.lastname@example.org
We are all in this together!