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Data management strategy

Understanding corporate strategy and governance policy
Define data management charter and scope
Data maturity assessment
Roadmap (digitization/IT governance)
Stakeholder engagement
Stewardship and ownership
Culture change
Business execution

A data management strategy is a plan developed by an organization to effectively manage all its data throughout its lifecycle, from collection to archiving.

Process alignment

New organizational processes and realignment
Information architecture planning
IT architecture planning
Change management

Process alignment means aligning a company's operational activities with its strategic objectives. This involves adapting business processes, workflows and IT systems to effectively support the organization's overall objectives.

Implementation

Throwing away the basics
Data protection
Security and confidentiality
Metadata management
Data quality management (DQM)

Implementation refers to the practical realization of a strategy, plan or project in an actual operating environment. This involves moving from theoretical conception to concrete realization, by putting in place the resources, processes and tools needed to achieve the set objectives.

Lifecycle management

Plan & Design : Data architecture – Modeling – Design
Activate and maintain : Big data storage – Data warehousing – Data lakes -Data integration
Use and enhance : Data visualization BI – Data science – Data monetization

This process comprises several key stages, including data collection, storage, use, publication, archiving and deletion. The main aim of data lifecycle management is to optimize the use of data, while ensuring its integrity, security and regulatory compliance.

Reporting & Analysis

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First Working Process

For startups and growing businesses, an online specialist can develop a digital marketing plan to help you grow.

Dedicated Team Member

Your digital consultant will also be able to kickstart campaigns and maximise your marketing budget.

24/7 Hours Support

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