It’s common to say that “Data is the new oil”, although we might all agree with this, but not all in the same sense, surely, it’s a valuable resource, but like oil if unrefined it cannot really be used.
The same way oil needs to be transformed into gas, plastic, chemicals, to create a valuable entity that drives profitable activity, data needs to be transformed, refined, to be able to create true value — We won’t expect our car to run if we fill the tank with crude, or even worse with some kind of substance that looks like fuel, not knowing exactly what it is.
The same happens with data, we can’t expect reliable results from our analytic reports or AI algorithms unless we can assure that the data being used has the necessary qualities to produce the desired results.
When I started working a few years ago, we frequently used the expression “garbage in, garbage out”, things have changed since then, the informational ecosystems are more complex, and data flows across it more easily and in ways harder to control.
“Garbage in, garbage out” might no longer reflect the reality, at the stage we are in we must say: “garbage in, garbage everywhere”
I believe that there is no substantial difference in the outcome between a good decision made with bad data and a bad decision with good data. Inevitably, bad data produces bad data. Data that will impair the business decision processes in any organization, thus affecting its results, efficiency and even its competitiveness.
Creating the conditions so that the right information is available at the right time to the right people, will enable an organization to gain the insights for better business decisions, increase efficiency and productivity and promote a consistent and effective use of data across the organization — All these essential to create the necessary competitive edge when facing incredibly competitive markets.
Driving better insights through better data.
With over 20 years’ experience, my Data Management career has focused mainly in the areas of Data Governance, Data Quality, Master Data Management, ETL, Data Migration and Data Integration, with experience in worldwide projects in Europe, Middle East and Africa across a wide range of realities and different clients and industries, enabling organizations across the world to proactively manage their data asset and to address their challenges and gain more value from their data, focusing on providing solutions through the usage of best-of-breed technologies and methodologies.
Taking advantage of my extensive experience in the data management area, in worldwide projects in Europe, Middle East and Africa across different industries, I am now engaging with local partner across different countries in Africa to help them to leverage and develop opportunities in these areas.
How can we work together?
Providing advisory services
- Data Governance
- Data Strategy
- Data Quality
- Master Data Management
- Data Protection and Privacy
- Consulting Services
Providing consulting services
- Data Governance
- Data Quality
- Data Catalogue
- Metadata Management
- Master Data Management
Providing local partners support for data management initiatives
- Workshops & Keynotes
- Pre-Sales Support
- Market offer creation support
- Feature writing
For the next 5 years the size of data available is expected to grow at a rate of 40% per year.
The awareness of data as the most critical asset for an organization keeps growing but the results will not follow and despite large investments to manage this crescent entry of data, most organizations are still unable to retrieve the meaningful insights that will enable them to take advantage of the potential created by all this data.
Data management, in its multiple areas, became than ever as it demonstrates the value of analytics in allowing organizations to make more informed decisions, ultimately benefiting its bottom line.
How important is to govern the data asset?
The capability to have control of the data existing in an organization, enables that organization to reduce risks associated with data, to reduce costs with data related processes, it’s critical for regulatory compliance and of course will work as an enabler for analytical applications of data, assuring that timely, consistent, and trusted data is provided business to support critical decisions.
Data is the biggest challenge when employing new technologies and the impact of data-driven decisions is larger than ever before. The availability of high-quality data is paramount for technology to have the right impact.
Owning and trusting data are two completely different things, the amounts of data available are increasingly bigger however that data is not suitable or trustable enough to make business-critical decisions with. This lack of trust in the data has a twofold impact, it either inhibits decision making, or even worse, it induces decisions based on false assumptions.
Building a network of partners across multiple African countries it has been a challenging but rewarding task, allowing me at this moment to have gathered the conditions and the local support to fully deliver projects in the areas of Data Governance, Data Strategy, Data Quality, Master Data Management and Data Protection and Privacy in Kenya, Tanzania, Uganda, Nigeria, South Africa, Rwanda, Ethiopia, Ghana, Sierra Leone, Egypt, and Zambia.
Engaging with local partner across different countries in Africa to help them to leverage and develop opportunities in these areas.
If you want to know more, get in touch with me at firstname.lastname@example.org