Data Strategy

Data Strategy

Data Strategy

“Strategy without execution is useless—Execution without strategy is aimless.”

“Strategy without execution is useless—Execution without strategy is aimless.”

“Strategy without execution is useless—Execution without strategy is aimless.”

Illustration for Data Engineering services featuring a stylized server rack with colorful data lines connected to a secure cloud icon with a padlock, next to a document filled with code, set against a starry night sky background, symbolizing secure data management and cloud computing solutions.
Illustration for Data Engineering services featuring a stylized server rack with colorful data lines connected to a secure cloud icon with a padlock, next to a document filled with code, set against a starry night sky background, symbolizing secure data management and cloud computing solutions.
Illustration for Data Engineering services featuring a stylized server rack with colorful data lines connected to a secure cloud icon with a padlock, next to a document filled with code, set against a starry night sky background, symbolizing secure data management and cloud computing solutions.
Illustration for Data Engineering services featuring a stylized server rack with colorful data lines connected to a secure cloud icon with a padlock, next to a document filled with code, set against a starry night sky background, symbolizing secure data management and cloud computing solutions.

Create an actionable strategy plan to set the right direction

Create an actionable strategy plan to set the right direction

Create an actionable strategy plan to set the right direction

Everything starts with a vision and a clear strategy. You need an actionable strategy plan that sets a clear path for your analytics, BI, ML, and Gen AI initiatives to strive. At Astrafy, we question every data initiative and make sure concrete use cases support it. Most of the time, data teams jump to the “What” and those isolated actions are deemed to fail.

Everything starts with a vision and a clear strategy. You need an actionable strategy plan that sets a clear path for your analytics, BI, ML, and Gen AI initiatives to strive. At Astrafy, we question every data initiative and make sure concrete use cases support it. Most of the time, data teams jump to the “What” and those isolated actions are deemed to fail.

Everything starts with a vision and a clear strategy. You need an actionable strategy plan that sets a clear path for your analytics, BI, ML, and Gen AI initiatives to strive. At Astrafy, we question every data initiative and make sure concrete use cases support it. Most of the time, data teams jump to the “What” and those isolated actions are deemed to fail.

Data Strategy

Data Strategy

Data Strategy

Often overlooked at the expense of quick implementation with fancy tools. The “How” with the data operating model is skewed toward Technology at the expense of People, Processes, and Data. We make sure to weigh all those aspects in the “How”.


  • People: Have the right people in the right places with the right skills and attitudes.

  • Processes: Processes are everywhere, and they range from how you pick projects, run them, deploy them, follow up, etc.

  • Technology: The right technology removes technical friction and helps your team be more productive in their work.

  • Data: Nothing is done today in isolation of data.


Finding the right tools with the right processes, people, and data will help you provide more access and reduce the time needed for delivery.

Often overlooked at the expense of quick implementation with fancy tools. The “How” with the data operating model is skewed toward Technology at the expense of People, Processes, and Data. We make sure to weigh all those aspects in the “How”.


  • People: Have the right people in the right places with the right skills and attitudes.

  • Processes: Processes are everywhere, and they range from how you pick projects, run them, deploy them, follow up, etc.

  • Technology: The right technology removes technical friction and helps your team be more productive in their work.

  • Data: Nothing is done today in isolation of data.


Finding the right tools with the right processes, people, and data will help you provide more access and reduce the time needed for delivery.

Often overlooked at the expense of quick implementation with fancy tools. The “How” with the data operating model is skewed toward Technology at the expense of People, Processes, and Data. We make sure to weigh all those aspects in the “How”.


  • People: Have the right people in the right places with the right skills and attitudes.

  • Processes: Processes are everywhere, and they range from how you pick projects, run them, deploy them, follow up, etc.

  • Technology: The right technology removes technical friction and helps your team be more productive in their work.

  • Data: Nothing is done today in isolation of data.


Finding the right tools with the right processes, people, and data will help you provide more access and reduce the time needed for delivery.

Isometric illustration of stacked 3D cubes in shades of blue and gray, representing building blocks of data architecture, with some cubes floating and glowing to symbolize modularity and advanced technology in data structure design.
Isometric illustration of stacked 3D cubes in shades of blue and gray, representing building blocks of data architecture, with some cubes floating and glowing to symbolize modularity and advanced technology in data structure design.
Isometric illustration of stacked 3D cubes in shades of blue and gray, representing building blocks of data architecture, with some cubes floating and glowing to symbolize modularity and advanced technology in data structure design.
Isometric illustration of stacked 3D cubes in shades of blue and gray, representing building blocks of data architecture, with some cubes floating and glowing to symbolize modularity and advanced technology in data structure design.
A graphic on data infrastructure featuring a secure cloud with a lock icon connected to a series of server racks, symbolizing the secure and robust foundation of a data ecosystem for efficient project execution and pipeline development.
A graphic on data infrastructure featuring a secure cloud with a lock icon connected to a series of server racks, symbolizing the secure and robust foundation of a data ecosystem for efficient project execution and pipeline development.
A graphic on data infrastructure featuring a secure cloud with a lock icon connected to a series of server racks, symbolizing the secure and robust foundation of a data ecosystem for efficient project execution and pipeline development.
A graphic on data infrastructure featuring a secure cloud with a lock icon connected to a series of server racks, symbolizing the secure and robust foundation of a data ecosystem for efficient project execution and pipeline development.

Crawl, walk and run

Crawl, walk and run

Crawl, walk and run

Our data strategy methodology is iterative and follows an order of priority. You need to master descriptive analytics before jumping straight into AI Analytics. It’s a journey, not a destination. We accompany you on each step of this journey, and each iteration will bring significant added value to your company. By iterating in the correct order at the right pace, the journey is smooth and prevents reluctance to make drastic changes.

Our data strategy methodology is iterative and follows an order of priority. You need to master descriptive analytics before jumping straight into AI Analytics. It’s a journey, not a destination. We accompany you on each step of this journey, and each iteration will bring significant added value to your company. By iterating in the correct order at the right pace, the journey is smooth and prevents reluctance to make drastic changes.

Our data strategy methodology is iterative and follows an order of priority. You need to master descriptive analytics before jumping straight into AI Analytics. It’s a journey, not a destination. We accompany you on each step of this journey, and each iteration will bring significant added value to your company. By iterating in the correct order at the right pace, the journey is smooth and prevents reluctance to make drastic changes.

Our data Strategy blueprint

Our data Strategy blueprint

Are you afraid of only getting slide decks with recommendations? First and foremost, we are developers who have evolved into data strategy, and we approach data strategy with a concrete and actionable point of view.

By collaborating with us, you can expect the following on 6-8 weeks timeline:

Are you afraid of only getting slide decks with recommendations? First and foremost, we are developers who have evolved into data strategy, and we approach data strategy with a concrete and actionable point of view.

By collaborating with us, you can expect the following on 6-8 weeks timeline:

Our data Strategy blueprint

Are you afraid of only getting slide decks with recommendations? First and foremost, we are developers who have evolved into data strategy, and we approach data strategy with a concrete and actionable point of view.

By collaborating with us, you can expect the following on 6-8 weeks timeline:

Discovery

Every data strategy is different and depends on your company's specificities. We must understand where you are now to define the best journey towards your data goals.

Every data strategy is different and depends on your company's specificities. We must understand where you are now to define the best journey towards your data goals.

Every data strategy is different and depends on your company's specificities. We must understand where you are now to define the best journey towards your data goals.

Interviews

Architectures, slides, and executives' words are not enough to get your company's real data maturity picture. Our team will conduct various interviews with everyone interacting or being impacted by data.

Strategy design document

This detailed document contains the tailor-made data strategy for your company. We cover everything from tool selection to revamped processes and data organizational structure in the nitty gritty detail.

Implementation plan

The best strategy is useless unless it’s executed. Execution is our comfort zone, and executing a data strategy involves technical skills and a lot of soft skills that we have learned to master through years of data experience.

Graphic representing data orchestration with a browser window and a calendar interface, highlighting a network globe icon and a directional arrow, symbolizing the scheduling and automation of data workflows from collection to distribution.
Graphic representing data orchestration with a browser window and a calendar interface, highlighting a network globe icon and a directional arrow, symbolizing the scheduling and automation of data workflows from collection to distribution.
Graphic representing data orchestration with a browser window and a calendar interface, highlighting a network globe icon and a directional arrow, symbolizing the scheduling and automation of data workflows from collection to distribution.
Graphic representing data orchestration with a browser window and a calendar interface, highlighting a network globe icon and a directional arrow, symbolizing the scheduling and automation of data workflows from collection to distribution.

AI Strategy

AI Strategy

AI Strategy

Data maturity is a spectrum that has multiple axes. So, don’t feel like you have to be doing AI on day one. You must also define and execute a strong data strategy before starting AI. We have seen countless AI projects fail for this reason, and we have set realistic ambitions for your AI strategy.

Data maturity is a spectrum that has multiple axes. So, don’t feel like you have to be doing AI on day one. You must also define and execute a strong data strategy before starting AI. We have seen countless AI projects fail for this reason, and we have set realistic ambitions for your AI strategy.

Data maturity is a spectrum that has multiple axes. So, don’t feel like you have to be doing AI on day one. You must also define and execute a strong data strategy before starting AI. We have seen countless AI projects fail for this reason, and we have set realistic ambitions for your AI strategy.

Our framework to define an impactful AI strategy

Our framework to define an impactful AI strategy

Our framework to define an impactful AI strategy

Our framework to define an impactful AI strategy

1

1

Define use cases with the different business departments.

Define use cases with the different business departments.

Define use cases with the different business departments.

2

2

Prioritize those use cases by setting a score that considers ROI and technical complexity.

Prioritize those use cases by setting a score that considers ROI and technical complexity.

Prioritize those use cases by setting a score that considers ROI and technical complexity.

3

3

Evaluate the data maturity to achieve the priority use cases. Feedback on the gaps in the data strategy.

Evaluate the data maturity to achieve the priority use cases. Feedback on the gaps in the data strategy.

Evaluate the data maturity to achieve the priority use cases. Feedback on the gaps in the data strategy.

4

4

Implement use case by use case with a strong focus on MLOps to automate the solutions as much as possible.

Implement use case by use case with a strong focus on MLOps to automate the solutions as much as possible.

Implement use case by use case with a strong focus on MLOps to automate the solutions as much as possible.

Why us

Why us

Why us

We are, first and foremost, Data & AI Strategists before being great data engineers and analytics engineers.

Some of our key differentiating factors:

We are, first and foremost, Data & AI Strategists before being

great data engineers and analytics engineers.

Some of our key differentiating factors:

We are, first and foremost, Data & AI Strategists before being great data engineers and analytics engineers.

Some of our key differentiating factors:

Icon of a stylized burst or spark symbol, representing the idea of innovation and uniqueness in data engineering.

Holistic approach

Holistic approach

Holistic approach

We know data is not isolated and that it flows from everywhere and impacts the entire business

We know data is not isolated and that it flows from everywhere and impacts the entire business

We know data is not isolated and that it flows from everywhere and impacts the entire business

Icon of a stylized burst or spark symbol, representing the idea of innovation and uniqueness in data engineering.

Specialists

Specialists

Specialists

We have been in the execution phase of many underperforming data & AI strategies and, know by experience what is not working.

We have been in the execution phase of many underperforming data & AI strategies and, know by experience what is not working.

We have been in the execution phase of many underperforming data & AI strategies and, know by experience what is not working.

Icon of a stylized burst or spark symbol, representing the idea of innovation and uniqueness in data engineering.

Strategic Execution

Strategic Execution

Strategic Execution

We walk the talk and put your strategy into motion with laser-focused implementation.

We walk the talk and put your strategy into motion with laser-focused implementation.

We walk the talk and put your strategy into motion with laser-focused implementation.

Illustration of five floating web browser windows against a deep blue background with white stars, each displaying different types of charts and graphs such as line graphs, bar charts, and pie charts, symbolizing data engineering expertise.
Illustration of five floating web browser windows against a deep blue background with white stars, each displaying different types of charts and graphs such as line graphs, bar charts, and pie charts, symbolizing data engineering expertise.
Illustration of five floating web browser windows against a deep blue background with white stars, each displaying different types of charts and graphs such as line graphs, bar charts, and pie charts, symbolizing data engineering expertise.

Wondering if you are moving in the
right direction with your data & AI strategy?

Wondering if you are moving in the
right direction with your data & AI strategy?

Ready to level up your data engineering practices?