Organizations that work to build efficiencies into their data lifecycle can generate cost savings as high as 30 and 40 percent. But the data process that most needs efficiencies can also be the most daunting to tackle. We’re talking about your data ingestion process.
Translating large volumes of data and reports into meaningful actions is difficult. The complex, laborious nature of the data ingest process strains teams. It consumes the time of your talented people and resources from your business.
You might agree that your data ingestion process needs streamlining. But it’s hard knowing how to do it effectively and efficiently. We’re here to help.
This blog explores how companies can improve data ingestion amidst complex factors like different data sources and formats.
The problem of complex data ingestion
Most companies use data from multiple data feeds. And to make that data actionable, they need to convert data from every feed into a consistent format. This isn’t easy.
- It consumes time. Engineers write custom code which takes hours, and developers manually translate data with code.
- No consistent process. Different parts of the company come up with solutions, meaning different tools and siloed information.
- Lack of transparency. Troubleshooting code while in production can result in a loss of oversight, making subsequent issues more difficult to fix.
- Varied data formats. Some data requires significant cleansing, and all data must be transformed for usability.
Your business might be getting the job done when it comes to data ingestion. But the vital questions are whether it’s done in the most cost-effective and scalable way. And if not, what is that costing your business?
With those questions in mind, it may be time to turn to a single platform that supports automatic data transformation.
How setting up a data ingestion framework helps automate and speed up data onboardingThe benefits of streamlined data ingestion
Our clients at Gain Theory turn enormous volumes of marketing data into actionable insights for their clients. When we chatted with their Transformation Practice Lead, he confirmed that scalability and efficiency had been on his mind when he came to CloverDX.
‘I knew there was a more elegant way to organize all of this – an opportunity to do better.’
- Brian Suh, Transformation Practice Lead, Gain Theory
Your company’s data ingestion process aims to import multiple and varied data sources and make them ready for analysis. The strain so common in the process doesn’t have to be inherent.
Adopting a single platform, like CloverDX, to centralize and standardize your ingestion process means you can ensure the following:
Consistent processes. Stop each incoming data set from becoming a custom job. Instead, program custom workflows once and then reuse them. It creates consistency in how data is received, transformed, and delivered. And it enables this without excessive time and resources.
A centralized approach. Using a single platform for data ingestion brings key processes together under a single roof. From development and operations to troubleshooting and monitoring, CloverDX ensures tools are on-hand to support proper implementation and prevent vital steps from being neglected.
Improved collaboration. With consistency and shared language, Gain Theory found reaching out to other teams for a template became a reasonable ask. Another team can adapt an existing workflow rather than starting from scratch. This allows project teams and departments to work together effectively.
Scalable data ingestion. Growth, the goal of every business, can create further data ingestion strain. But CloverDX handles added applications, data resources, or clients at speed. According to Gain Theory, CloverDX offers breadth to cover thousands of data sources and depth to build complex workflows.
Features like the interface, data integration, automated pipelines, and scalability streamline data ingestion. CloverDX makes consolidating data from multiple feeds far simpler.
A better way to do data ingestion
In many companies, data scientists’ workloads are 80% data preparation. And most of those highly skilled workers consider this the least enjoyable part of their job.
Using a data integration platform like CloverDX to support the data ingestion process cuts time. It takes the complexity out of the process for your people, freeing them up for more engaging, valuable tasks.
CloverDX enables your company to standardize the data ingestion process. And the result is a streamlined, far more consistent way to work with multiple data sources. The interface is readable and easier to understand, which permits less technical business users to work with data. It can break down silos and free up resources.
Curious about what a streamlined data ingestion process could do in your business? Contact us now for a demo.
Share
