Data Management Consultancy Services
A team of experts ready to help CDOs to discover and understand the business value of data.
The objective of Data Management is to keep data organized in a practical, efficient and easily consumable or usable way. Therefore, the way in which this data is managed lays the foundations in the organization for its subsequent analysis, to define strategies and thus generate a positive impact on the business. This discipline has undoubtedly become an essential part of organizations that want to become data-driven. Through Keepler’s data management consulting services, we help you build these foundations in your organization and integrate them to introduce them in the different areas involved.
Through Keepler’s data management consulting services, an expert in data management, with extensive business experience and functional capabilities, we will guide you through the transformation, both culturally and technically, guaranteeing your success.
Explore our Data Management services.
3. Be the change
It is time to think about new stages and future needs. Develop new skills, change the data-mindset, create talent paths… To consolidate the Data Culture. Always considering regulatory, compliance and privacy requirements.
1. Get started
First step: know yourself better. Your challenges, your pain points, your technology and your future desires and goals. Then, build the most adequate strategy around the data. Our Data Maturity Formula methodology will guide you in the first steps.
2. Make the change feasible
Every data management program and/or any digital transformation needs to count on (and start with) people. This implies talking about data governance and thus triggering data quality works, to make people conscious and accountable of data.
We help you understand your level of data maturity and identify the first steps of your strategy thanks to our Data Maturity Formula, an unique and exclusive Keepler methodology that combines specific variables and will allow you to start your transition towards a data-driven company.
Data Management Consultancy Circle’s
Portfolio
Where we are today
Where we aspire to be in the future
What are the intermediate steps or initiatives
We help you in the definition of a new Data Office. We are experts on define and set up a fit for purpose Data Office and launch its operations.
We follow DAMA Framework to define core functions to develop from the Data Office and its plan.
Also, we define its related roles, key responsabilities, as well as profiles (job descriptions), goals and hiring plan.
We help our customers reflect about where the Data Office should be placed, from its launching and over the way.
And the operational and relationship model within other key areas around the organization.
Data Strategy projects all have same approach and sometimes methodology in common too. Key point in here is being very rational and understand quickly what fails and what is needed to be done. We intend to be advisor of the CDO. Here is where being a management consultant with expertise in data management represents the best candidate to do so.
Data Governance is actually about data accountability. Companies struggle when trying to demonstrate and execute real accountability around data.
Model definition
DG organizational model, accountability model, roles and responsabillities, policies, RASCI, matrix. Our approach is define a fitted DGM for you, not creatic a generic one.
Implementation
Most companies struggle when trying to put Data Governance into operations, our approach is not based in any Data Governance tool implementation, it is practical, no investment based and focused on data initiatives.
Embedded Data Governance
Only a few companies has been able to escalate its DGM in time enough to match metrics to the different DG roles and link them into their incentives plan / bonuses and rewards. Our approach is to help our clients have it done with common sense and differentiating among roles and key metrics to follow.
Data Quality is the next step after applying Data Governance, as well as it helps users understand ‘their data’ and new roles performance.
Data Quality Playbook
As Data Quality is not regulated, when companies begin to calculate it is difficult to have a common methodology based on best practices and common frameworks. With our Data Quality Playbook we give you not only a professional methodology, but also a material understandable by non technical users and the design and implementation of a Data Quality Dashboard to start measuring it.
Data Strategy, Plan and Metrics
Once Data Quality is into operations, then it is time to help our clients define Data Quality Strategy, how to use Data Quality in order to reach out their main business goals or main challenges ahead. This advisory work is very related to our Data Strategy block, but only focused in Data Quality terms, metrics and evolution.
Data Literacy consists of having a data alphabet that allows employees, and the company itself, to make decisions based on Data Analysis. At Keepler we work to improve the Data Literacy of our clients based on the following principles:
Know how to read data visualizations
Prepare the data
Explore and create clear graphs
Spread data literacy
Consinuously improve data
Use data skillfully
Why is a Data Management Partner important?
“Impeccable professionalism and market knowledge make Keepler an ideal partner for strategic projects in our company.”
Real Expertise
It will provide expert knowledge that the client lacks in order to guide them through the process using proven and practical methodologies, with clear and measurable objectives.
Tailored Strategy
Far from falling into standardised frameworks, we help you build a system that works for your organisation, applying knowledge, experience and common sense.
Trusted Advisor
Our goal is to create an operational and executable system from very early on and we take on the role of being advisors to your data strategy so that the foundations of your products and analytics are solid, secure and scalable.
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