Tackling data silos and creating a single source of truth are very real business needs. To find out why, have a look at our previous blogs.
What exactly can you do about these challenges? Extract and Load is the short answer. Here’s how you can get started:
Every system or process that produces data is a data source. An ERP system, a CRM tool, a transactional database, a financial forecast in an Excel spreadsheet – they’re all important. Each one contains valuable data, designed for an intended operational purpose.
External tools count too. Are you engaged in online marketing? All those impressions, clicks and subsequent traffic create a valuable resource for insight. Do you have partners delivering goods, managing supply chains or providing raw materials? Again, add this data to the mix.
Combining all of your data unlocks far greater value.
APIs, database connectors, file ingestion: one way or another, the data needs to be extracted from each source system or process. And then loaded to a single, central repository.
Load scheduling and handling inter-dependencies are critical to the success of a data platform. Downstream analysis is only as good as the data made available at this stage.
There are several ways of achieving this extract and load goal. At its heart, it’s a technology challenge. One way to tackle it is with engineering resources, from the ground up.
Your business is unique so the solution should be bespoke, right? Well, your business is unique, but the data sources and flows aren’t.
There is a better, cheaper, quicker and more scalable way.
At kleene.ai, we firmly believe that technology and its challenges shouldn’t be a barrier to entry. That’s why we’ve done the hard work for you by creating kleene.extract and kleene.load. A simple user interface enables you to create those vital pipelines between data source and central repository. Without writing a single line of code.
Want to know more? We’d love to chat. Please get in touch.
We’d love to show off a bit, so get in touch below.
We have talked a lot on this blog about how to get the data sorted and ready for use....
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