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 simple steps for adopting a pragmatic data strategy for your business??

1. Unified Data Solutions are necessary for adopting a pragmatic data strategy. Connect the data from business departments to find actionable insights for the whole business.
2. Customer-Centric Approach is crucial for achieving the business' data goals. Collect data across the customer journey to improve your products and services.
3. Data Should Be Front And Center in a pragmatic data strategy. Leverage the power of data to reduce costs, automate processes, and improve productivity.
4. A More Flexible And Responsible Approach to data collection and analysis can prove to be successful. Analyze the impact of every data interaction to create a pragmatic data strategy that achieves its goals.
5. Improving Data Literacy among your employees is also important for the success of a pragmatic data strategy

For creating and implementing a successful data strategy, use the pragmatic data approach to get the best results for your business??

Free Frameworks: The Data Strategy Canvas and The Pragmatic Data Strategy Framework

As more companies seek to grow their analytical and AI capabilities, more are learning about the importance of a pragmatic data strategy as a foundation Business leadership are turning to their data organisations to drive points on analytics and AI ROI. The pragmatic data strategy framework was created by expert data strategist Seren Yashar and ?? Dr Stylianos Kampakis, CStat ?? in order to help enterprises quickly evaluate and design their data strategy.

You can find both frameworks here, just select 'data strategy' in the drop down box and you can download them for free.

Free Event: The Importance of Data Strategy for Improving Your Product (11th August)

Are you a Product Manager, Executive or Entrepreneur?

Learn the Whys, and How of Data Strategy on this free online Event.

As more and more companies adopt #AI and #datascience, it is inevitable that those who don’t are simply left behind. Those who do adopt AI, see massive gains in efficiency.

On this webinar we discuss topics such as:

1. What is data strategy?
2. Why is it important?
3. What can a company do to best deal with data strategy in the era of big data?
4. How can data strategy help me build a superior product?

This event is organised by the? The Tesseract Academy and will be presented by Denton Rawson who has over 20 years of experience in the technology industry. He has worked with some of the worlds Top Bluechip organisations in the F100 and F500 at stakeholder level.

You can grab your free ticket via Eventbrite here.

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.

Most data science/AI projects fail, as the result of the lack of a data strategy. This is one of the reasons that on this podcast, I have talked a lot about the importance of data strategy for companies of all stages and sizes.

On this podcast, we are talking with Ruben Sardaryan , who is a data strategy expert from Toronto. One of the most interesting bits of this interview is the explanation of the difference between data tactics and data strategy. Most companies focus on the former, but should really focus on the latter.

Data science, AI, blockchain and tokenomics

You can work with me or the The Tesseract Academy Academy on data science and AI:

1. Reach out to us here if you are interested in data strategy or AI development
2. I am also doing extensive work in the area of tokenomics, being on of the first researchers in the area. Reach out here for more info or to discuss.
3. Finally, I am mentoring students in data science, make sure to get in touch if you are interested in this service.

#productivity #business #pragmatic #data #datastrategy #unified #flexible