Data captured and stored by IT systems is one of the most significant assets for your business. In a highly competitive climate, making efficient use of that unique pool of data could be the key to your continued success.
Yet, in many circumstances, businesses fall far short of realising the full value of this potential gold mine. This frequently occurs because the data, as well as the infrastructure technologies used to manage it, have not been fine-tuned to meet the company's business objectives. This is where data optimisation can come in handy.
Modern businesses rely on data from a range of sources and in a variety of structured and unstructured formats. Without organisation in place, data frequently contains mistakes, inconsistencies, redundant information, or other abnormalities that make it near impossible to access vital information quickly and at a time that suits you.
To maximise the speed and comprehensiveness with which pertinent information can be extracted, evaluated, and put to use, the data optimisation process makes use of sophisticated data quality solutions to access, organise, and cleanse data, regardless of the source.
Your business has a lot to gain from this increased availability of vital information. Let's have a look at a few examples.
Threats and opportunities can occur at any time in today's economic climate, and a company's survival may depend on how swiftly it reacts. The goal is to have quick access to accurate data. Even with automated technologies, bringing data from several sources and formats together may be a time-consuming and error-prone process.
By reorganising datasets and filtering out inaccuracies and noise, data optimisation solves this challenge. As a result, the speed with which actionable data may be retrieved, evaluated, and made available to decision-makers is usually significantly increased.
The technologies and tools you use for data optimisation will also give you visibility into the performance of your server, storage, network, and system software components. Having access to this data makes operations like planning, troubleshooting, and forecasting much easier, leading to more efficient use of both hardware and software resources.
Poor data quality can result in mistakes and inconsistencies, lowering the perceived reliability and value of information that is crucial to corporate operations. As a result, interactions with consumers, business partners, and even workers are frequently marred by uncertainty, delays, and the potential for conflict. The data optimisation method improves data quality, which reduces a company's vulnerability to such challenges and improves its overall reputation.
Not only do today’s customers expect speed, accuracy, and extensive information from the firms they do business with, they demand it. They want quick replies to their queries with accurate and relevant information, no matter which channel they’re contacting you on. When it comes to offering real-time service that fulfills these expectations, data optimisation can be the key.
Many businesses are switching to a multi-cloud strategy for their IT operations today, not only to make use of each platform's particular capabilities, but also to insulate themselves from the consequences of a cloud provider suddenly becoming unavailable. Because different cloud platforms have distinct native storage formats and analytical capabilities, optimising and compressing data before transferring between platforms can make a multi-cloud approach much easier to adopt.
With all that in mind, it’s clear that data optimisation is a smart move for any business. It’ll make you more secure, agile, flexible and efficient — all while offering a healthy ROI.
The next step? Get in touch. We’ll talk to you about your business and how data optimisation could impact you and your bottom line.
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