Today’s modern businesses are capturing vast amounts of data and rely on understanding it to chart the future.
Data Integration combines data that is generated by a variety of software and apps across your entire business landscape, into a unified source of information. This data pipeline will ingest, consolidate and transform information from your cloud, hybrid or on-premise environments, CMS & CRM systems, website, accounting software, digital planning tools, sales and marketing applications, customer activity, spreadsheets, mobile apps and more.
In fact, any digital platform that collects and stores data can be united into a single source of truth.
Data integration also includes sorting, cleansing, enriching and other processes which automatically convert the data, so everything conforms to the architecture of the final destination.
The challenge with data integration is that data is being collected and stored in solutions that use different computer languages, which means your developer must write code to make each data source compatible with the integrated Data Lake or Data Warehouse.
Data integration brings this valuable information into a single platform that ultimately enables your team to produce actionable business diagnostics for all of your departmental needs.
Your team will be able to generate meaningful reports in a fraction of the time, and have the confidence that what they are seeing is accurate. No more manual rekeying of data into your BI solution from non-compatible sources – such as excel spreadsheets. No more confusion stemming from different business units relying on information from disconnected data siloes. No more frustration at not being able to get an accurate and clear picture of the state of play.
Instead your entire organisation will be singing from the same song book, in real-time, producing mission-critical reports in minutes instead of days.
Don’t let disconnected data siloes compromise your productivity.
Book a time to discover more today.
At its core data migration streamlines the process of data selection, preparation and extraction to transform the way data is transferred across storage platforms – particularly relevant when a company is migrating to the cloud.
Unlike integration, data migration is generally a one-off project. You may have an asset management tool with a decade of data stored within. Consider how you are going to keep that valuable information when you want to change to a new and better tool to gain more functionality, reliable reporting, ease to use, and potentially significant cost saving.
You need to migrate your data out of unconnected data siloes!
To do that successfully you’ll love our Data Migration Specialists. Every database has a different structure to others. Like our genetic code, tiny differences can have a huge impact.
For a seamless migration we’ll drill deep and map your existing data before we configure your new system. We’ll migrate, test and tweak, migrate, test and tweak and so on – until your new system hums like a well-oiled machine.
Don't let out of date legacy systems hold you to ransom - let's discuss today and get you on the way.
ETL Development & Optimisation
When businesses wish to store all their data in a location so they can apply a transformation process to it, they must:
Extract the data from a source database (Everything from sensors to your finance department are producing data)
Transform the data into a standardised format (by cleaning it up, deduplicating, engineering etc)
Load into a target data store (typically a data lake or other type of database)
Our ETL developers have honed specialised skills and are familiar with the intricacies of unconnected systems and multiple platform combinations – so an ETL project is not an out-of-the-box solution. There are some off-the-shelf tools and APIs, and while they may facilitate the process, they don’t control what happens next – the inner workings of what each action is required to do or rewriting time-consuming functions to deliver better and significantly quicker performance.
ETL has business benefits beyond simply moving data from Point A to Point B.
ETL is a critical element in making sure that data needed for reporting, analytics, machine learning and artificial intelligence is complete and accessible – it’s purpose is to deliver a single point of truth for the business.
CONSOLIDATION: to help enterprises build from historical context and produce a long-term view of where the business has been, and where it is going.
PRODUCTIVITY: consolidated a unified view of data accumulated across the entire business ecosystem for quick and accurate analysis and reporting.
ACCURACY: knowing you can trust the information you are receiving and use it to achieve improved productivity, drive cost savings, compliance and regulatory reporting.