The Business Benefits of Data Optimization
For many enterprises today, the data captured and retained by their IT systems is among their most valuable assets. Making effective use of that unique pool of information can be the key to the continuing success of the business in a highly competitive environment.
Yet, in many cases, companies fall well short of extracting the maximum advantage from that potential treasure trove. This often happens because the data, as well as the infrastructure tools employed in managing it, have not been fine-tuned to best support the company’s business goals. That’s where data optimization can help.
What data optimization is all about
The data modern enterprises depend on may have many different sources and a variety of structured and unstructured formats. In many cases, it contains inaccuracies, inconsistencies, redundant information, or other anomalies that make it unnecessarily difficult to access critical information in a timely and comprehensive fashion.
The data optimization process makes use of sophisticated data quality tools, such as those provided by Precisely, to access, organize, and cleanse data, whatever the source, to maximize the speed and comprehensiveness with which pertinent information can be extracted, analyzed, and put to use. That enhanced availability of critical information provides businesses with significant benefits. Let’s take a look at some of them.
Agility and flexibility in decision-making
In today’s business environment, threats and opportunities can appear with lightning speed, and a company’s very survival can depend on how quickly it reacts. The key is having timely access to good information. But pulling together data from disparate sources and formats, even with automated tools, can be a time consuming and error-prone endeavor.
Data optimization alleviates that problem by restructuring datasets and filtering out inaccuracies and noise. The result is usually a significant increase in the speed with which actionable information can be extracted, analyzed, and made available to decision-makers.
Performance that meets customer expectations
In the internet age, customers have come to expect—and demand—speed, accuracy, and comprehensive information from the businesses they deal with. Whether the interaction is online, by telephone, or face-to-face, customers expect front-line personnel to be able to respond quickly with accurate and pertinent information. Data optimization is often the key to providing real-time service that meets customer expectations.
Assessing data quality on an ongoing basis is necessary to know how well the organization is doing at maximizing data quality. There are a variety of data and metrics that organizations can use to measure data quality. We’ll review of few of them in this eBook.
Enhanced company reputation
Poor data quality can produce inaccuracies and inconsistencies that reduce the perceived trustworthiness and utility of information that is critical to the operations of the business. The result is often the introduction of confusion, delay, and the potential for strife into transactions with customers, business partners, and even employees. The improvement in data quality brought about by the data optimization process minimizes a company’s exposure to such problems, and enhances its overall reputation.
Increased ROI for IT infrastructure and staff
The infrastructure tools used for optimizing data also provide insight into the performance of the server, storage, network, and system software components of a company’s IT operations. Having access to such information greatly facilitates tasks such as planning, troubleshooting, and forecasting, resulting in more efficient use of hardware and software resources, and of IT staff personnel.
Maximized IT availability and flexibility
Many enterprises today are moving to a multi-cloud model for their IT operations, not only to take advantage of the unique capabilities of each platform, but most importantly, to protect themselves from the effects of a cloud provider unexpectedly going offline. Because the various cloud platforms have different native storage formats and analytical tools, optimizing and perhaps compressing data before sharing it between platforms can greatly facilitate implementation of a multi-cloud strategy.
Data optimization is worth the effort!
The optimization of a company’s data and the infrastructure that supports it, requires an investment of time and resources. But the payoff from that investment can be substantial. To dig deeper into what data optimization can do for your business, read our eBook: 4 Ways to Measure Data Quality