Becoming Data-Driven: Turning Your Data Signals into Business Impact
Data is everywhere, but few businesses are able to truly harness its power to drive tangible business impact. Becoming data-driven can seem daunting, but with the right approach and guidance, any business can turn their data signals into competitive advantages.
In this guide, you’ll find a roadmap for becoming data-driven, including practical steps and examples from our customers. Whether you’re just getting started or looking to optimize your existing data strategy, this guide is for you.
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Join on the journey to becoming data-driven, and unlock the full potential of your data.
Unlock Business Growth
with Data-Driven Strategies in these domains:
- Firstly, it gives insights in the financial performance of a company. It helps any director understand which departments are performing well and which are not. It gives a clear picture of where you should take action first.
- Secondly, by utilizing data to enhance operations, companies can increase their operational excellence, particularly in industries like retail and manufacturing, where stock and workforce planning can be improved.
- Additionally, data can be used to enhance the customer experience across multiple channels, which ultimately leads to increased revenue.
One of the biggest risks is getting too caught up in building the foundations like infrastructure and data-ingestion. This results in spending too much time on the data rather than focusing on business results. Jeremy Bonnevalle, CEO at Devoteam G Cloud BeNeLux
The roadmap to build an Insights-Driven Business
Turn your data signals into actions with these steps
- Get your data house in order
- Empower your organisation with an efficient data operating model at scale
- Drive the adoption within the business
- Improve your data quality and deliver trusted data
- Turn data signals into actionable insights
Pursue Multiple Streams for Successful Innovation
- Business Stream: Streamlining Business through Ideation Workshops with Value Chain Stakeholders to Uncover, Define, Validate, and Prioritize Potential Use Cases, and Create Short and Long Term Planning:
- Technical Stream: develop a flexible and scalable data warehouse that can serve as the foundation for future innovation. This involves categorizing the use cases into BI, ML, API management, or IoT, assessing the appropriate technology for each case, and ultimately implementing the solution
- Change Management: The organization should identify and handle any opposition to change, convey innovation strategy to stakeholders, and offer assistance and training to employees to adjust to new technologies and processes
Make sure to have a continuous creation of value process
- Discover: Before embarking on a data project, it is important to discover and determine the potential use cases, examine the data sources available, evaluate the technologies required to ingest that data source, analyze the change impact and identify the stakeholders, and clarify project messaging.
- Plan: Once the potential use cases have been prioritized, success criteria determined, the TO BE data model established, and cost estimates created, it’s time to move on to detailed planning to ensure a successful data project.
- Execute: During the execution phase, it’s time to create a data ingestion pipeline, set up data governance, create the necessary transformation queries, and build the required BI dashboard, ML use case, IoT use case, or API management use case. Communication and training are also essential to ensure success.
Why Google Cloud?
Advantages of Google Cloud
- Best-in-class Security: Protect systems, data and users at any scale
- Fully managed & Scalable: Ease of use and seamless scale with no IT complexity
- Innovation with AI: Predict business outcomes with advanced AI driven api’s
- Real-time Insights: Analyse real-time data streams for instant insights
- Open and Flexible: The best open source analytics innovations
- Lower TCO: flexible, predictable pricing and lower TCO
Google Cloud Solutions
- Datawarehouse with BigQuery
- Business Intelligence with Looker
- Google’s AI Portfolio
- API management with Apigee
A modern data stack is super important to achieve your goals. Sven Hermans, Head of Data at Devoteam G Cloud Belgium
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Don’t miss these expert insights on becoming data driven
- Jeremy, our CEO, shares the pitfalls of becoming data-driven and how to focus on generating business value with data
- Niels, our CTO, explains XYZ
- Sven, our Head of Data shares the ins and outs of an excellent data tech stack in 2023
- Keren, Head of Change, shares how you increase user adoption and make your entire organisation data-driven
- Detailed information on the roadmap you can take to become data-driven
- Latest customer stories and use cases
Interested in taking steps to make you a data-driven company?
Jeremy Bonnevalle
CEO at Devoteam G Cloud BeNeLux
