Data makes the world go round. Without facilitating it, function would be compromised. And like all industries, the automotive sector relies heavily on data reporting to automate processes to deliver vast and complicated services, effortlessly.
But Just What is Data Reporting?
Where once the very mention of the word ‘data’ conjured up cinematic images of reels of binary coding flashing across a screen, here in the 21st Century our relationship with data looks and feels very different. And most of the time we’re unaware of its capture.
In its simplest, most stripped-back form and function, data reporting refers to the process of collating, formatting and submitting raw data. Which in turn fuels accurate analysis of the core facts and figures with reference to specific elements, once interpreted into digestible chunks. The objective being to then determine the ongoing performance of an organisation or business.
In the case of GT Motive, the collation and standardisation of data to provide reliable and informed claims and accident damage reporting for the automotive, fleet and insurance sectors is the core of their product offering.
What’s Data Reporting Used For?
Data reporting features prominently in a lot of areas of our lives. Mostly behind the scenes. Think census and election processes. Think employee, hospital admissions and student data. Data – and the reporting of data – spills over into most parts of our every day, often without giving it a second thought.
From academic research, scientific innovations and building and construction data, through to business intelligence, financial transactions and tax records.
Data reporting is driven by the desire to log an array of facts and figures which intrinsically relate to all of us at various junctures. Questionnaires, online and clinical forms, job applications, balloting et al all constitute data capture. Which subsequently funnels into data reporting.
Essentially nothing more than a recorded list of facts and figures, data reporting is key to business intelligence, and needs to be done right.
How You Get Data Reporting Right
Contrary to requiring intensive coding skills or being an analytical expert, for the most part being adept at data reporting includes having the ability to extract critical information about a subject matter. And then not over-complicating your findings.
And how you might get data reporting wrong…
Get it wrong, and inaccurate data reporting can negatively impact decision-making which systematically comes off the back of collation. Which can set in motion a chain of data-led events which are at odds with the original evidence.
What Does Data Reporting Look Like?
Data reporting can take various shapes, with data reporting systems generally tending to comprise the means of monitoring, converting and deploying the stats gathered. Once said data is observed, it will be translated into digestible and succinct presentation formats.
These typically include graphs, files and charts, and once data reports are completed that information is subsequently distributed to the necessary parties to do with it what they need to.
With GT Motive data management looks a little different. For a start it’s founded almost entirely on OE vehicle data, which has gone from strength to strength with the introduction of the detailed new NextGen documentation process. Optimising vehicle repair management is what we’re about, and dedicating our efforts to evolving technological solutions and incorporating new and richer data to achieve these goals is what we’ve built a reputation for.
GT Estimate at the Vanguard of our Data Reporting
NextGen is our latest and most revolutionary means of documenting vehicle databases, leveraging structured data sourced directly from the OE’s, we are able to optimise authoring speed and quality. This claims, breakdown and maintenance appraisal tool – the most powerful and most comprehensive on the market – has been created by GT Estimate.
Whose users are able to access an even greater compendium of information on vehicles. Users such as those involved in claims management, repair shop professionals and leasing and fleet companies, for example.
What We Do with This Digital Data and Just How We Make It Work for Our Customers
Our process starts with data authoring. Whereby we set about standardising all the data received from individual car manufacturers so as to afford more uniformity to our databases. Often individual automotive manufacturers facilitate different language architecture to describe key parts. Therefore, we ensure that our descriptions of manufacturer’s parts are universally harmonised once listed on the GT system. The standardized language we establish brings fluidity to the subsequent estimation process we then deliver.
This database essentially drives the intelligence of GT Estimate, and is the result of intelligent processes which entail the receipt, structuring, transformation and presentation of data to our end users. We are responsible for creating a wealth of component and part-rich data, comprising up-to-date information, generated by the output of the tools of our virtual trade. Namely GT Estimate and GT Global.
From our customers’ perspective access and enablement stems from the data we collate and then curate. Which equips them with the necessary tools to perform reporting and analytics of their own. That said, we can also provide that service, courtesy of our optional reporting suite data set, which gives users the possibility of a more visual element.
Datacentricity is at the Core of Our Business
As a data centric business, we also apply advanced logic to our data authoring – and subsequent, reporting – practices, while the practice of common hierarchies in vehicle repair components inventories is where we lead the way.
Looking at vehicle bumpers for example, we have engineered a common hierarchy for bumpers across all manufacturers represented. So, end users can avoid attempting to interpret each individual manufacturer’s way of documenting parts, graphics and all other core components.
Increased model-holding database capabilities, coupled with increased part numbers identifiable by VIN numbers ensure that our NextGen tool is technically able to compete with vehicle manufacturers’ own catalogues on areas such as technical and pricing information. What’s more, this new tech reduces the average times it takes to process and input data into the database of the models we’ve added, by up to 30%.
One of the main advantages being the avoidance of identification errors when it comes to specification of spare parts, equipment and systems incorporated in individual vehicles.
Setting Vehicle Repair Data Industry Standards, Not Following
Where we also differ from competitors is that we ensure our analytical data derived from system use is both instantly accessible and digestible. A diligently-structured front end in the authoring process, also augurs well for when analytical activities are required later in the process.
At the end of the day standardisation is key. Our vehicle authoring process, and transforming of OE data into something tangible and that a user can understand and be reported on, is amongst the primary benefits of our platform.
Get in touch with us today to discover how our data reporting and methodologies can make your life easier.