Making better use of market and consumer data
30. April 2024
How SMEs overcome hurdles in democratizing data science
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Datahearts bridges the gap in knowledge, ability, and resources within your company.
Datahearts helps your company become data-driven and even more successful.
By combining business strategy with data science, Datahearts enables your company to successfully launch data projects of all sizes.
Our mission? Optimising your data universe
a)
Numerous enterprises face challenges related to
- Data Strategy
- Data Analysis
- Data Comprehension
- Data Generation
- Data Infrastructure
b)
76% of all data projects fail, attributed to
- Low employee commitment
- Insufficient data foundation
- Inaccessibility to critical data
- Lacking data skills
- Missing expertise
Obviously: A new approach to data strategy is overdue.
Datahearts is going to foster success in data projects – please read on to learn how we will achieve this.
Splendid bunch
A bespoke team of project and data experts will be attaining the objectives of your project. We call this team a “Data Squad”.
Each Datahearts Data Squad is tailored to the dimensions, complexity, and magnitude of the project, guaranteeing the highest quality service and support throughout the entire project lifecycle. Here’s a brief overview of the various skills characterizing our Data Squads:
defines objects and goals
extracts insights from data and develops models
builds and maintains the infrastructure enabling data projects
designs software for data collection, processing, analysis
designs the database storing and managing project data
well, you know those two
Behold! A better working world
Can we evaluate what a better working world looks like? Sure. For starters, your employees will have on average 32 % more time. But there’s more:
- Increased company performance
- Reduced workload for employees
- Less repetitive tasks
- Increased employee job satisfaction
How do we achieve this fabulous new working world? We analyse the initial situation, formulate a strategy, implement it and, of course, train your staff. Within approximately five months you can:
free up a third of your employees’ time
freed up time
32%
multiply the number of completed models per analyst by 2.5
completed models
100%
completed models
100%
completed models
49%
halve the time to create a model
time needed for a model
44%
Who you gonna call?
Decide in favour of Datahearts’ support for your project. Or talk to our people first to find out how we can give your company a boost. The best place to start your new data project is right here.
What’s happened so far
From Data to Decisions
30. April 2024
It’s not about tools, but about people and processes.
Define “data project”
Datahearts carries out data projects. However, our experience is that many managers are not entirely clear about what a data project constitutes. Here comes an explanation:
A data project is an initiative to gather, assess, and then visually represent datasets – datasets such as those derived from production, distribution or sales. It contextualizes the data to create and offer new insights. These insights underpin and potentially improve company decisions and enhance processes.
Because, as we believe, data is the heartbeat of every company.
Head of Data Science Consulting