Data transformation is like a magic wand for your business data. It takes messy, hard-to-understand information and turns it into something you can actually use. Imagine having clear, easy-to-read stats and facts at your fingertips. That's what good data transformation tools do.

But we're not just talking about cleaning up numbers. With the right software, you can also set up key performance indicators (KPIs), get alerts, and even have experts help you make sense of it all. This unlocks the value of your data to give you visibility into your customers and operations and to help you make decisions.

Benefits of Data Transformation

Data transformation isn't just a “nice to have”; it's essential for any modern business that wants to succeed. By converting raw data into a format that's easier to understand, you unlock actionable insights that can drive decision-making. This means you can spot trends, make improvements, and get ahead of the competition.

The benefits go beyond just cleaning up your data. By automating your data transformations, you save time and reduce errors. This also enables data monitoring and alerts, so you're always in the loop. Data transformation is the key to turning your data from a chore into a valuable asset.

KPIs & Metrics Tools & Accessibility

With the right KPI software and metrics software in place, tracking key performance indicators (KPIs) becomes a breeze. Gone are the days of sifting through spreadsheets or waiting for quarterly reports. With self-service, on-demand access to your metrics, anyone in the organization from the executive suite to the shop floor can make data-driven decisions using our metrics tools.

Modern dashboards and reports are user-friendly, making KPI tracking software accessible to all. Whether you're in marketing looking to measure campaign success or in operations keen to improve efficiency, these KPI tools are not just for analysts or data scientists. They empower everyone to engage with organizational goals and progress on our KPI platform.

Automated Data Cleaning, Enrichments & Transformations

Any Data Asset under Management with Datateer is fully automated and monitored by our data transformation tool. That means your data will always be up to date and of high quality so that you can trust the numbers in your reports and dashboards.

Say goodbye to manual processes that are both time-consuming and error-prone. With automated enrichments, your raw data is instantly transformed into a usable format, ready for analysis or reporting.

This automation turns your data management task from a constant headache into a hands-free operation using our metrics platform.

Data Monitoring & Alerts

With our advanced data monitoring and alerts, you're never in the dark about your data's status. If something is not right, not only will you know about it, but so will we. Datateer takes immediate action to resolve any issues, ensuring continuous data integrity and business operations.

These real-time alerts go beyond just notifying you of errors or inconsistencies; they're part of an active system that constantly monitors the health of your data on our metrics platform. This saves you the effort of constant checks and the worry of undiscovered issues lurking in your data sets. With our data transformation tools, monitoring is proactive, not reactive, making your data a reliable asset rather than a potential liability.

Expert Assistance with Data Models

When it comes to data models, you can leave the heavy lifting to us. Datateer takes care of constructing and maintaining your data models, so you don't have to invest time or resources in becoming an expert. We create KPIs, develop transformation metrics, and ensure that everything is aligned with your business objectives on our KPI platform.

Our hands-on approach means you can focus on using the insights and benefits these models provide, rather than worrying about how they are built or maintained. We do the complex work behind the scenes, transforming your data into a strategic asset that drives smarter decisions and better results.

Testimonials

"We created 100 different metrics very relevant to our customers. We have seen significant growth in our key accounts."

Paul Harty - Chief Strategy Officer @ Motion Recruitment

"We were data rich but information poor. When you are moving at the speed we are, you can't just throw people at that problem. Datateer gives us a full picture and saves us a ton of time.”

Kelsey Waters - Senior Director of Operations @ Equinix

"Datateer understood our data and consolidated all that information in a way that dramatically improved the speed and quality of client conversations."

Devin Mulhern - Managing Director @ Denver South EDP

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FAQ (Frequently Asked Questions)

What is data transformation?

Data transformation means changing it from its raw state to a usable state. When data first arrives into a data warehouse, it is considered “raw” meaning it looks exactly like it did when it came from the upstream operational system.

However, “raw” data is not always useful. For example, if you are interested in a metric like Customer Acquisition Cost, you need data for the cost of acquiring customers (the numerator), which comes from your accounting system. You also need data on the number of new customers acquired (the denominator), which comes from your CRM.

Raw data from your accounting system and your CRM must be combined to calculate the Customer Acquisition Cost metric. This process of combining data, reshaping it, and calculating metrics is data transformation.

What is KPI tracking?

Key performance indicators–KPIs–are metrics that a business determines are most important. Of all the things that could be tracked, some are more important than others–these are KPIs.

KPI tracking means keeping track of these important metrics over time to be able to assess business performance and outcomes.

What does data transformation enable data analysts to accomplish?

Data analysts are looking for answers. They use data and analyze it to try and identify insights or help a business make decisions.

By transforming data from its raw state into a more usable state, data analysts are able to answer more questions than leaving data in its raw form.

How to lead a data-driven digital transformation?

Many people and businesses understand the power of using data to get visibility and understand their operations and customers. However, this can be a large, complicated effort to fully realize the value that data potentially holds. 

When leading a data-driven digital transformation, we recommend following the Simpler Analytics framework. Start with the Audiences who need to use data to make decisions or answer Questions. Identify the Questions they need answered. 

With that information, you can begin to identify the Data Sources that contain data that could answer the Questions. And you can define the Metrics and Data Products that will deliver those answers to the Audiences.

Throughout all of this, delivering narrowly defined iterations is more successful than trying to do too much at once. 

What is KPI software?

KPI software is a product that tracks metrics and delivers them on demand. Often, this software replaces spreadsheets or other manual tracking efforts.

What are data transformation services?

In today’s world of hyper-specialization, it rarely makes sense for small and medium-sized companies to have top-tier data analytics expertise on staff full-time. Freelancers and firms exist that can provide on-demand data transformation services.

The delivery of these services can vary, as can the quality. When considering a provider of data transformation services, you should evaluate the timeliness, cost, expertise, and quality consistency of the service provider.

What technology is involved in KPIs, metrics, and data transformation?

Numerous technologies are involved. The core components are a data warehouse, orchestration/scheduling, support desk or ticketing system to handle errors and failures, data extraction software, and data visualization.


The central component is the data warehouse. Learn more in What Is a Data Warehouse?