When is data fabric great for your business?

data fabric

In a previous post, we had an introduction to the data fabric concept and architecture. Renato covered the topic perfectly and outlined the benefits and why should you embrace implementing it into your business. It might seem like a new buzzword, but in earnest, it shifts the trends in data analytics and data management. But, let’s recap what data fabric is. Gartner defines data fabric as an emerging data management design that enables augmented data integration and sharing across heterogeneous data sources and emerging data management design for attaining flexible, reusable, and augmented data integration pipelines, services, and semantics. A data fabric supports both operational and analytics use cases delivered across multiple deployment and orchestration platforms and processes. Or as Renato mentioned, it’s a data architecture that integrates a set of technologies and services designed to achieve the ultimate objective of data democratization and self-service across the enterprise. Simply said, data fabrics are systems that allow for data to move seamlessly around different parts or applications. If we want to get general and even simpler, data fabric is just that – a fabric that is woven and structured from threads connected into one cohesive entity. Just as threads connect, the same way data systems, applications, and architecture, are all interlaced together to ensure smoother and unobstructed data flow, without the need to have one centralized data repository.  Let’s track what your business gains Where does the value kick in? Well, anything that ensures quicker operations and data flow is bound to bring some major benefits. If everything moves faster it means it’s more cost-effective. But it also means that people inside the company can do their work more efficiently and in less time. If that in itself isn’t attractive, data fabric brings loads of other benefits. There is a reason why, recently, data fabrics gained even more popularity.  In the previous post, we concluded that data fabric brings these benefits: But, we’re going to expand a bit and turn our focus on perhaps more of a business end of a specter. Improved data access and integration If you get the gist of data fabric, you know that through data virtualization and data catalogs, it provides an overview of the whole data environment. It acts as an augmented layer over each data source and storage and gives access to data without the need to move data from one point to the other.  By giving all-around access to information, we can say that data fabrics improve and enhance data democratization. Non-technical personnel can now work with data in real time and avoid waiting for data teams to provide data back to them.  This way companies can shorten the time to get the right data to the right people. Data catalogs help in giving the information where they can find certain data, so they can far more easily navigate such environments. One great thing about data fabrics is that any change in data is automatically registered and handled. Data fabrics kind of learn and adapt to changes, and, let’s say, sort new information where it belongs. With such a high level of accessibility and integration across the whole company, there is increased knowledge among employees. Their expertise and skills rise, their confidence increases, and they can feel more comfortable making data-based decisions. If you can access data at any point, you can react more quickly to changes and minimize or even negate negative effects. Increased agility As we said before, data fabrics are agile and non-rigid. As data environments evolve, data fabrics follow suit and learn new changes to which they adapt. If you are familiar with the term data agility, then you surely know what that entails. Fast and efficient data movement removes the obstacles of rigid or siloed data, while simultaneously providing better control. As established, data fabrics provide an additional layer of flexibility where each data point is connected and can travel across applications or components without obstacles.  But, in terms of business value, agility is not only a description of data but the agility of employees and business processes or operations. People using and working with data become more agile to its changes and meaning. With data democratization in tow, data becomes a great asset utilized by everyone. This is where you don’t have to wait a long time to get to information, but rather you can access it instantly. Your workflow instantly changes with this. Your tasks get more easily achievable and accurate.  Faster decision-making It’s no surprise that with increased agility comes better and faster decision-making. They go hand in hand. Data fabrics also make way for better business insights and a single source of truth. A 360-degree view of data results in faster value delivery, whether we talk about operational changes or even deploying new products or services to the market.  With an unobstructed data flow comes a flexible approach to making decisions. You can imagine data fabric as interlaced highways and speed lanes where you can go faster and more smoothly than on regular roads. There are no complex intersections with stoplights that halt your progress. In work, you get instant input, analyze it, and drive decisions.  Increased efficiency and innovation momentum Okay, now that we have established that data fabrics bring complete overview and access to data, we can safely say that they can increase efficiency and stimulate innovations. Simple as that. Before, employees or stakeholders were at a standstill because of the lack of available information. Even if you wanted to analyze or access certain data sets that could give you insights into products or customers, there was sort of a bureaucratic stasis. An augmented layer for data removes that. Data fabrics are also designed for and can act as stimulants for AI and machine learning. These innovations are driving the market right now, and using them internally can only maximize your company, product, or service value. Speeding up the innovation momentum gives leverage and competitive advantage on the market, and even marks