Data-Centric vs. Data-Driven Organizations


28 February 2020


Data-Centric vs Data-Driven Organizations

Regardless of the industry, you’re in, as the digital transformation era continues to fight upon Data-Centric vs Data-Driven information. there’s an increasing focus on customer experience and technologies that facilitate the improvement of experiences. Data-centric information is at the center of this transformation. Data is at the center of this transformation.

There are two main terms often used when discussing data and its role in digital transformation.

The first is data-centric organizations, and the second is data-driven organizations.

So how do the two compare, and which should you be striving for?

Data-Centric vs Data-Driven Organizations

Data-centric is an organization that’s reached the final stage of the data transformation and evolution. When you’re a data-centric organization, data and data science are the central foundational core of your business.

data driven organisation

In a data-centric organization, all key decision-makers and stakeholders have a holistic view of how data is used.

Data engineers maybe their own separate departments and they ensure that they’re developing a scalable infrastructure. In a data-centric organization, the data science department is its own entity and there is often a Chief Data Officer.

There is an efficient flow of information between the people who ultimately make decisions in the organizations and the data scientists, and there are formal processes for the implementation of data.

Often what will happen is that an organization believes itself to be data-centric when in reality is it’s application-centric.

There are silos that block the open flow of information, and applications are put in place to solve one specific problem without taking a holistic view.

Also, with an application-centric organization, you don’t fully own your data. Instead, the applications or vendors might own the data.

When you’re truly data-centric, there are enormous advantages. There aren’t silos and no one outside of your organization owns your data are two big ones.

If your objective is to become data-centric, your data is your main asset, and it’s a permanent asset even as applications come and go.

What’s a Data-Driven Organization?

Many organizations think they’re data-centric, but the reality is they’re data-driven.

Data-driven organizations aren’t bad by any means, and it’s a necessary phase to get to the point of being data-centric, but not fully there yet.

Data-driven means that your culture is collecting data and using it as an actional part of the business.

When you’re data-driven, you’re both acquiring and analyzing data to fuel decision-making and make better overall decisions.


There are often certain features you’ll see uniformly with data-driven organizations.

One is that the executive leadership team is creative and curious.

To be data-driven, leadership has to be open-minded, and they have to appreciate challenges.

With this in mind, there is a distinction to be made between being data-driven and metrics-driven as well.

When companies have metrics-driven, which is what most companies are, they have performance indicators they track.

When you’re data-driven, it’s more about taking the body of data as a whole and gaining insights from it, rather than strictly measuring set KPIs.

A data-driven organization is likely to be more adept at innovation than one that’s metrics-driven.

Another feature across the board in most data-driven organizations is accessing. It’s important for data to be widely accessible to all employees.

Along with this comes the need to improve data literacy so that the transparency of the data has relevance.

Sometimes a metrics-driven organization is also referred to as data-informed. A data-informed organization is collecting data from different sources, it’s organized, and it’s well-documented. Decision-makers will always have a fight on Data-Centric vs Data-Driven information.

How Can You Move From Data-Driven to Data-Centric

The goal should be a move from data-driven to data-centric since data-centric is the full realization of data as its own entity.

Usually, the way that organizations can move from one step to the next is by learning from the best Data Science course and starting technically by gathering all the data and cataloging it. That then makes it possible to map it and create a data model.

Once the technical elements are taken care of, the processes can move up toward the business level.

Overall one of the main takeaways is that just because you’re using data in an actionable way, it doesn’t mean you are Data-Centric vs Data-Driven. There’s a required evolution from the acceptance that data is essential all the way through the full realization of being a data-centric organization.

With a data-centric organizational model, it allows you to take your architecture and interpret your data with agility. As the digital transformation continues to evolve, so will the nature of the data-centric organization.

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I enjoy writing and I write quality guest posts on topics of my interest and passion. I have been doing this since my college days. My special interests are in health, fitness, food and following the latest trends in these areas. I am an editor at Content Rally.

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Leverage EDI to Supercharge Data Exchange

Leverage EDI to Supercharge Data Exchange

In the present digital era, data exchange has a lot to do in turning a business triumphant and self-sufficient. The faster this process is, the better the outcome will be.The data exchange model underpins your company’s success. It encompasses a framework that enables business users to exchange information across multiple business ecosystems. For example, a manufacturing enterprise exchanges large volumes of data between distributors as well as supply chain ecosystems.In order to drive data exchange, enterprises must securely share data at the speed of business. In doing so, they must rely on electronic data exchange (EDI) technology. Not only it empowers business users to amplify data usage but also streamlines and accelerates communication.Nevertheless, a lot of companies still rely on legacy systems to kickstart B2B transactions that involve an exchange of important documents such as sales orders, purchase orders (PO), functional acknowledgment, or invoices. These systems, owing to their manual nature, can put a lot of burden on the IT teams.Further, they can slow down the processes, turning them error-prone and costly. In the end, companies become difficult to do business with. Next-gen EDI tools can be of great value here. Not only these solutions help drive data residing in the system but also those that are remotely positioned. EDI for Faster Data Exchange:Electronic data exchange platforms can help companies exchange data across the trading partner ecosystem in an automated manner. They maximize operational efficiency and enable business users to make successful business decisions.The importance of these platforms has grown in the current digital transformation age wherein, secure data exchange is deemed essential. Companies must have access to robust remote data exchange platforms to drive the exchange of data from remote collection points.By enabling secure remote exchange across their trading partner network, companies can maintain the security of data without much operational overhead. Value of EDI Integration: A lot of enterprises are choosing EDI to simplify their B2B transactions and exchange processes without sacrificing speed or complexity. But, to do so, one must have a deeper sense of understanding about the technology. Let’s explore how EDI integration works to dive deeper.EDI enables business users to take an integrated approach to deliver operational visibility, faster workflows, and improved customer service. Here are steps that play a crucial role. Step 1:   The sender transfers the document such as the purchase order. The transfer happens from an in-house system or application.  Step 2:  The purchase order is then converted into the required EDI format with aid of techniques like mapping, data transformation, and more. Step 3:  The EDI document is then allowed to run via a processor for structural accuracy. Step 4:  The data is transmitted to a VAN with the help of protocols like SFTP, HTTPS, or AS2. Step 5:  Ultimately, EDI is directed over AS2 and this allows companies to establish a connection with their trading partner ecosystem. As the file reaches the receiver finally, it undergoes verification and authentication followed by data ingestion. In the end, the receiver transmits information and acknowledges the delivery. How Does it Help Business Drive Forward? EDI integration empowers business users drive remote data exchange and B2B transactions without complexity. It has a lot to offer, from ensuring faster business data exchange to facilitating information accuracy. Here are some of the benefits. Better Efficiency through Automation: It simplifies operations and allows secure exchange of documents residing in the system and remote data collection points using automation. Not only it increases the speed of operations but also decreases errors with ease. Better Speed:  It helps in cutting down the processing time, increasing the company’s time-to-value. Order-to-shipment cycles turn faster by 60%, and hence data exchange accelerates. Better Accuracy:  Errors in data trigger disturbances in data flow and management. EDI integration automates B2B processes, making organizations easier to do business with. When companies rely on manual methods to do so, mistakes are bound to occur. Modern solutions turn these processes more accurate, eliminating risks of errors through manual intervention. Better Security:  EDI is way faster and safer than legacy systems. It only authorizes selected personnel to access data, making processes secure than ever. Simply put, Companies can rapidly exchange data across various business ecosystems using a next-gen EDI integration solution. Read Also:Is A Time Card App Really Necessary? Data Points To Yes! Tips to Keep Your Photos and Data Save on Your Mobile Phone Is Big Data Capable Of Predicting The Next Best-Selling Book And Author: An Analysis

The Role Of Session Recording In Understanding User Behavior

The Role Of Session Recording In Understanding User Behavior

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Construction Industry

5 Technologies Disrupting The Construction Industry

Advancement in technology has a significant impact on different industries, particularly construction. Rather than depending entirely on skills, blueprints, and tools to convert the raw materials into masterpieces, workers now have another different resource they can rely on.New technology improves the efficiency of the processes making the construction projects faster, more accurate, and more comfortable. In this article, we’re going to focus on some of the remarkable changes in technology and how each one of them has impacted the construction industry. 5 Technologies Disrupting The Construction Industry: 1. BIMBIM is an acronym for Building Information Modelling, which is one of the technologies currently being used in the construction industry. 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The BIM through the rendering guide provides the opportunity for modifications in order to ensure the outcome is a flawless one. 2. DronesIf you are looking to give your construction business a boost you can think of using drones for aerial photography and videography. Next Generation Drones are drone photographers based in Melbourne who are highly skilled operators that have been working in the construction industry for a very long time. This can help you in creating engaging and innovative content to woo your target audiences.Drones are incredibly vital when it comes to the surveying of construction sites, particularly those with great heights. The uncrewed aerial vehicles provide the builders, designers as well as architects with an eye bird view of the projects without necessarily having to hire a helicopter.The use of the drone is cost-effective when compared to hiring an airplane. 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