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data strategy

Data strategy is the process of determining how data will be used in an organization and what it will be used for.

It’s a process that has become more important over time because it helps to define the company’s goals and objectives. It also helps to inform senior management about how to execute on those goals and objectives.

The data strategy can take many forms, but generally it includes the following:

– What data should be collected?

– How should data be collected?

– How often should data collection occur?

– Who has access to this data?

– What are the costs associated with collecting this data?

sameer rahman
Data science and AI for decision makers

Announcing the new data maturity short course with Sameer Rahman and the Tesseract Academy

Data maturity Data is the new oil. All businesses, big or small, need to understand and adopt a data-driven approach in order to stay competitive. Data maturity is the concept of how mature an organization’s data strategy and data culture are. It is measured through a set of questions that Read more…

By , 4 monthsSeptember 17, 2022 ago
Artificial Intelligence

Developing A Pragmatic Data Strategy In Five Practical Steps

Developing a data strategy according to your business needs is crucial for long-term success. The pragmatic data strategy has shown positive results and taken businesses to the next level. It focuses on reducing the risk of data misuse, creating more reliable data foundations, and enabling new ideas. Here are five Read more…

By , 6 monthsAugust 8, 2022 ago
Data science

Strategies To Promote Data-Driven Business Culture At Your Organization

The amount of data generated by businesses has exploded in recent years. Many opportunities await companies to improve innovation, customer satisfaction, and operations with the help of data analytics. A shift toward a data-driven culture in your organization will help you make better strategic decisions and achieve your business goals. Read more…

By , 6 monthsJuly 31, 2022 ago
data maturity and data strategy
Data science and AI for decision makers

Data Maturity with the Tesseract Academy and Sameer Rahman

Data maturity is a term that is used to describe the process of understanding how to use data to make decisions. Data maturity is not a one-time event. It’s an ongoing process that requires continuous investment and learning in order to achieve the highest level of data maturity. The data Read more…

By , 7 monthsJuly 11, 2022 ago
Data science

Event Video: Data strategy and GDPR (Maximising value from your data)

There are two main concerns for any business that want to maximise the value it extracts from its data: Being GDPR compliant Creating the right data strategy (using Data Protection by Design and by Default to build GDPR compliance into your data strategy) The first point can raise legal concerns Read more…

By , 1 yearDecember 1, 2021 ago
Data science

Online Workshop with Denton Rawson: The Importance of Data Strategy

Data strategy is the process of planning, collecting, analyzing and using data in order to achieve business goals. Without data strategy businesses will struggle in understanding their customers needs. Data analysis can help in understanding where the company can improve customer experience. Data collection helps in measuring the impact of a Read more…

By , 1 yearNovember 16, 2021 ago
artificial intelligence
Data science

The Asfari Foundation: Data Science & Data Strategy Workshop

Data science can transform the world by helping in many different ways, which we have repeatedly covered on this blog. Unfortunately due to lack of funding the third world sector is often left behind, resulting in missed opportunities for growth, development and economic wealth. The Tesseract Academy are delighted to Read more…

By , 1 year ago
Artificial Intelligence

Data architecture and its significance

In a world that is driven by data and digital transformation it is absolutely vital that businesses have the right infrastructure, data strategy and solution set up early-on. This is where data architecture comes into play. What is Data Architecture? Data Architecture is a significant component required to gather and Read more…

By , 1 yearOctober 25, 2021 ago
Artificial Intelligence

LMF New World Series 2.0: Insurance Conference

Recently, I had the great opportunity to partake in the London Market Forums (LMF): New World Series 2.0, a yearly event where thousands of insurance professionals came together in the UK to discuss, debate and collaborate on topics of mutual interest in the community.   The finance and insurance sector Read more…

By , 2 yearsJuly 25, 2021 ago
Podcast

Data tactics vs data strategy: An interview with Ruben Sardaryan on data strategy

Data strategy is one of the most important parts of any data science project. Unfortunately, it is not very recognised. This is why I have repeatedly written about this topic on this blog: The Data Strategy Canvas DS10 questionnaire for data strategy Data strategy: offense vs defense Most data science/AI Read more…

By , 2 years ago

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About me

Dr Stylianos (Stelios) Kampakis is a data scientist with more than 10 years of experience. He has worked with decision makers from companies of all sizes: from startups to organisations like, the US Navy, Vodafone and British Land. His work expands multiple sectors including fintech (fraud detection and valuation models), sports analytics, health-tech, general AI, medical statistics, predictive maintenance and others. He has worked with many different types of technologies, from statistical models, to deep learning to blockchain and he has 2 patents pending to his name.

He has also helped many people follow a career in data science and technology.

He is a member of the Royal Statistical Society, honorary research fellow at the UCL Centre for Blockchain Technologies, a data science advisor for London Business School and CEO of The Tesseract Academy.

He was also one of the first researchers in the area of blockchain to study and discuss tokenomics. His seminal work in token economics has led to many successful token economic designs using tools such as agent based modelling and game theory.

A natural polymath, with a PhD in Machine Learning and degrees in Artificial Intelligence, Statistics, Psychology, and Economics he loves using his broad skillset to solve difficult problems and help companies improve their efficiency.

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