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
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”.
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”.
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
Processes
Technology
Data
People
Processes
Technology
Data
People
Processes
Technology
Data
People
Processes
Technology
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.
Finding the right tools with the right processes, people, and data will help you provide more access and reduce the time needed for delivery.
Finding the right tools with the right processes, people, and data will help you provide more access and reduce the time needed for delivery.
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.
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.
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.
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.
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:
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
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.
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.
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?