Master data management

Robust and sustainable MDM strategy cannot be achieved by simply implementing a new technology.

It requires a meticulous and rigorous approach to planning, the cross-functional transformation of business processes on multiple organisational levels, and the measured change of individual and team behaviours in order to succeed, all while winning executive support throughout the leadership chain.

Kagool has successfully supported the MDM strategy and delivery for enterprises operating across a range of industries, that have either organically matured into requiring enterprise MDM, or have stumbled upon the requirement in a crisis situation.

At Kagool, we are not aligned to any particular MDM IT technology. We have the ability to provide strategies for any off-the-shelf MDM solution, or through bespoke MDM solutions that meet any complex requirements that may not fit into vanilla MDM systems.

Our consultants can support MDM strategic planning and discussions from the boardroom through to the shop floor, providing a comprehensive service covering all industry sectors from manufacturing, regulation, government, banking and finance, through to social channels and general management.

Data governance

Data Governance covers an ever growing range of assurance processes that enterprises require to support from a regulatory, internal and external compliance perspective.

Our remit can manage and provide assurance for the following range of data concerns:

• Access and Controls to PII Personal data
• Access and Controls to enterprise secret and financially sensitive data
• Test landscape data provision and sanitisation solutions
• Intra and Inter-company Data Sharing Agreements
• Non-EU IT Support Teams for EU legislated Personal Datasets

These processes within organisations might be mature or entirely non-existent: whatever the circumstances, all companies should seek independent support to review and validate how they work to ensure optimal compliance.

Enterprise IT landscapes are large and complex and mistakes can often occur which can:

• Leak financially sensitive information to the market in advance of corporate disclosure
• Remove all controls for access to corporate employee salary data
• Allow highly sensitive customer data available to non-authorised personnel
• Push customer data through firewalls that should prevent this
• Make customer banking details accessible

Whilst your enterprise production IT landscape may be certified as robust, many non-production landscapes that support testing and development can be less so.

We provide independent assessments on current practices and provide direction and remedial steps to align your enterprise processes with best practice, which may involve encryption, data scrambling and process improvements.

Framework, methodology and design

Many companies, even those with established frameworks and protocols, struggle to design efficient and robust solutions for project delivery and ongoing data management. 

Kagool can ensure that you have a data management framework that maximises reusability, business ownership, business self-service for error management efficiency, a scalable framework for huge datasets, frameworks which account for complex object dependencies, incorporate cross-project object dependencies, and maximises the automation capabilities of the data management tool in use.

We have a proven track record of providing industrialised data management frameworks and methods to support projects and business-as-usual teams to deliver optimally and successfully across all industry sectors.

GDPR

All organisations that collect and process data on any British or EU citizens, including your customers and employees, must assure compliance with European GDPR regulation coming into force on May 25th 2018. Non-compliance with GDPR means that businesses can be fined 4% of their annual income or €20 million, whichever is higher.

Some organisations hold personally identifiable information without even realising it - even without holding Natural Key identifiers such as Name and Date of Birth on company records, some datasets can indirectly identify an individual due to the uniqueness of transactional records held against them relative to a wider population, for example car registration plates, combinations of personal characteristics and/or disabilities within a geographic area.

We provide independent assessments on your current practices and provide direction and remedial steps to ensure that the data you hold conforms with upcoming GDPR regulation, which may involve process improvements, encryption, cleansing, scrambling, or anonymising data while preserving its utility and value.