Data-Centric vs. Data-Driven Organizations

Published on: 28 February 2020 Last Updated on: 04 January 2024

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.

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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How To Cancel Microsoft Subscription? Step-By-Step Guide

Microsoft 365 has been the most prominent platform for office work. Accordion to statistics, there are 1.4 billion users of Windows 10 or Windows 11 users. Most of the desktops and laptops used in the whole world use Microsoft's Windows as their operating system. But, many of us don't want to use Word, Excel, Outlook, and other apps. In such cases, you might want to cancel the subscription to Microsoft. So, if you want to cancel your Microsoft subscription, you are in the right spot. In this article, I have answered your question – How To Cancel Microsoft Subscription?. I have also answered several other questions like this one in this article. Read More: Top 10 Antivirus For Chromebook In 2022 Answering 'How To Cancel Microsoft Subscription?' If you want to cancel your Microsoft subscription, you can do it by following these steps here– You need to go to service and subscriptions and sign in with your Microsoft account that you used to purchase it. Note: If you see Turn on recurring billing, without a link reading Manage, it means that your subscriptions is about to end and you wont be charged automatically afterwards. On the next page, you will see options reading Upgrade or Cancel.You need to select the option Cancel.You should scroll through and follow the instructions along to complete your cancelation.You can check out the terms and conditions of microsoft's cancellation policy. What Happens When You Cancel The Subscription To Microsoft? I hope that you know how to cancel your Microsoft subscription after reading the previous section. But what happens after you cancel your Microsoft subscription? Here is what happens - Your account is immediately disabled from the day of the cancellation.You lose all of your access to the Microsoft 365 assets you had.Admins are the only ones to have access to the assets on Microsoft 365.The period of time admins have access is 90 days. Is It Worth It To Subscribe To Microsoft? The question comes down to choices. Many of us don't use the Microsoft 365 apps anymore. It is great for anyone who needs all the office apps. You can share one account with six users. You have the continuity of updates at a low cost. Currently, there are other workspaces where you can work without paying monthly or yearly subscription fees. Due to the availability of free alternatives, Microsoft 365 has become underrated. Click Here To Read: 5 Ways To Fix Chromecast Source Not Supported Error Troubleshoot Problems If You Can't Cancel The Subscription This part comes when you don't see Manage on the service and subscription page. Following this issue, you cant Turn off the recurring bills. If you are having trouble with that, here is the solution to help you – First, you need to ensure that you are signed up with the same account you have used to purchase your subscription.In case you see Turn on recurring billing but not Manage, it means that your subscription is about to expire. You will see an expiry date, and there is no need for a cancelation.If you want to fix this issue, you need to change the payment method. You can go to your Microsoft account dashboard and change your payment method by updating it. How To Cancel Your Microsoft 365 Subscription? Now, if you want to cancel your Microsoft 365 subscription, you can follow these steps here, First, you have to visit your Microsoft 365 account using a web browser.Next, log in to your Microsoft account with your username and password.Under the account settings, choose the Manage option.Choose the Cancel Subscription option under the account settings.Scroll down to navigate Turn Off Recruiting Billing. Finally, select it. Frequently Asked Questions (FAQs): Here are some similar questions and answers related to the same topic of canceling a Microsoft subscription. These queries might help you solve further issues with your Microsoft account. 1. How Do I Cancel My Microsoft Subscription? You can cancel your Microsoft subscription by following these steps,1. First, go to your service and subscription page. 2. You will see the upgrade or cancel option on the next page. 3. Now, select the cancel option and follow through with the next instructions to complete the cancelation successfully. 2. Why Can't I Cancel My Subscription On Microsoft? When you find it hard to cancel your Microsoft subscription, the reason may be the payment method. Often you might be trying to cancel your Microsoft subscription when it is about to expire. In such a case, you will have trouble canceling your subscription. You can solve this problem by upgrading the payment method. 3. How Do I Cancel Microsoft From Charging My Card? You can stop the recurring Microsoft payment system by canceling your subscription. You can do it by going to the service and subscription page and then cancel your subscription by following the steps mentioned in this article. 4. Can I Cancel My Microsoft Subscription At Any Time? You can cancel your Microsoft subscription at any time you want. You can also receive the prorated refund within seven days after the renewal or the start of your subscription. Bottom Line! After the emergence of Google Workspace, many people want to cancel their Microsoft subscription and switch over to Google. If you want to cancel your subscription, then this article can help you. Once you go through the steps mentioned in this article, You will know How To Cancel your Microsoft Subscription. I hope that this article was helpful to you. If you have any further queries, you can reach out to us in the comment section. Read Also: 6 Benefits of Microsoft 365 SecurityHow To Delete A Page In Google DocsHow To Allow Chrome To Access The Network In Your Firewall?

Best Practices For Replicating Data

Many organizations choose to replicate their data for a variety of reasons. Some companies do it for compliance reasons, while others keep a backup of their data in an emergency. No matter the reason, these best practices should be followed to ensure data is replicated effectively, like with a proactive data observability platform. What Is Data Replication? Data replication is the process of copying data from one place to another. This can be done for various reasons, but the most common reason is keeping a backup if something goes wrong. Replicating data can be done manually or using automation tools. Types Of Data When replicating data, it's important to consider what type of data you're copying. There are two main types of data: static and dynamic. Static data doesn't often change, while dynamic data changes frequently. Depending on the data you're replicating, you'll need to follow different best practices. Best Practices For Replicating Static Data Static data is relatively easy to replicate because it doesn't change often. The best practice for replicating static data is to use a tool that can take a snapshot of the data and then repeat that data to the desired location. This way, you can be sure that all of the data has been copied and that there are no inconsistencies. Best Practices For Replicating Data Dynamic data is more difficult to replicate because it can change anytime. The best practice for replicating active information is to use a tool that can automatically replicate the data as it changes. This way, you can be sure that the replica is always up-to-date and accurate. 1. Do Your Research Before replicating data, it is essential to do your research and figure out exactly what needs to be replicated. Trying to replicate too much data can be costly and time-consuming, so it is essential only to replicate the necessary data. Once you have figured out what needs to be replicated, you can start looking into which replication method would work best for your organization. Many different replication methods are available, so choosing the right one is crucial. Some methods are better suited for certain types of data than others, so it is essential to find the right fit. One method is synchronous replication, which copies data in real-time and can be used for mission-critical applications. Another method is asynchronous replication, which copies data at set intervals and can be used for less time-sensitive applications. Finally, there is snapshot replication, which takes periodic data snapshots but does not copy changes made between snapshots. 2. Choose The Right Tools To replicate data effectively, you need to have the right tools in place. There are several software programs available that can help with copying data. When choosing a program, there are a few things to remember. First, you must ensure the program is compatible with your systems. Second, you need to ensure the program can handle the data you need to replicate. Finally, you need to ensure the program has the features you need and fits within your budget. 3. Test, Test, Test Once you have chosen your replication method and found the right software program, it is time to put it to the test. Before replicating all of your data, start with a small test sample. This will help you catch any issues early on and avoid potential problems down the road. After replicating your test sample successfully, you can move on to replicating all of your data with confidence, knowing that everything is working as it should be. Benefits Of Data Replication There are many benefits of replicating data. Perhaps the most obvious benefit is that it can help you recover from a disaster. If something happens to your primary data center, you can use the replica to restore your data and get it back up and running quickly. Replication can also improve performance by distributing workloads across multiple servers. And finally, replication can help you meet compliance requirements by providing a secondary copy of your data, like with a proactive data observability platform. Final Thoughts Replicating your data can be a great way to ensure its safety and keep a backup in an emergency. However, some best practices should be followed in order for it to be done effectively. First, research and figure out exactly what needs to be replicated. Next, choose the right tools based on compatibility, capacity, and budget concerns. Finally—and perhaps most importantly—test your setup before replicating all of your data. By following these best practices, you can ensure that replicating your data will be a smooth and successful process. Additionals: How to Manage Your Marketing DataData-Centric vs. Data-Driven OrganizationsWhat Is Virtual Data Room Pricing? A Beginners GuideWhy it is important to study Masters’ Degree in Data Analytics?

Process Mining and Data Privacy – Key Points to Remember

The global pandemic of 2020 was challenging for frontline workers, the public, and businesses. Besides a dwindling economy, governments and organizations suffered various setbacks, including exponential data thefts. Security incidents became more costly and harder to contain for the latter due to a drastic operational shift. As per experts, the cost of a data breach reached a record high, shelling $4.24 million per incident on average from affected ventures. As more businesses migrate to the digital world, data security becomes a reason for severe migraine for owners. Keeping the incidents and the present situation in mind, the European Union introduced the General Data Protection Regulation (GDPR) for improved data privacy controls for EU citizens. GDPR requires a thorough evaluation of every software application before its implementation to prevent possible data breaches and loss of customers, employees, and corporate data. Automatically, business process management solutions, like process mining, RPA, automated process discovery, and others, fall under the tight scrutiny of GDPR data privacy guidelines. Process Mining in Business Process Management – A Brief Overview Process mining is an intelligent technology solution enabling owners to build a reliable visual map of business processes elaborating how every task within a process is executed. It captures employee-software system interactions and converts data into event logs. This provides an overview of end-to-end processes. Process mining tools provide task and process insights to evaluate task executions for scaling improvement opportunities. These insights also support informed decision-making pertaining to process efficiencies and complexities. Process mining bridges the gap between traditional model-based processes and data-centric processes for further analysis. There are three basic types of process mining; namely, process discovery to discover a process model capturing the behavior in an event log (collection of events), conformance checking for identifying commonalities and discrepancies between a process model and an event log, and process re-engineering to improve a process model using event logs. In a human-centric process, each event comprises a case identifier, an activity name, a timestamp, and optional attributes such as resources or costs. Usually, a case identifier refers to individuals and includes much personal data. And herein lies the significance of improving data security. The Importance of Data Security in Process Mining Automated process mining relies heavily on enterprise data and captures confidential information about the company or the clients. Data collected during the mining of processes are categorized under the following datasets: Key identifiers: These datasets contain unique information identifying individuals, such as their full names and social security numbers. Quasi-identifiers: These datasets are considered indirect identification of individuals—for example, gender, age, and postal code. Sensitive attributes: Information related to salary, payment, financial statements, and others are private and sensitive for individuals or companies. Insensitive attributes: These datasets contain general or non-risky information not covered by the other features. Given the confidential and sensitive nature of the above-mentioned data, attention to cybersecurity in process mining has gained momentum recently. Also, third parties can offer the latter; therefore, choosing providers with secure products and processes is equally crucial. Any breach in data security can prove costly for the company owners and tarnish customer/client/partner relationships. But the shared responsibility of protecting critical information should rest upon employees. After all, it is said that the usual source of security incidents are current employees and, in certain instances, ex-workers. Respective teams, while handling information, should protect sensitive data at every step of task execution. In order to achieve the same, decisions regarding data transparency and usage should be made aforehand. Most specifically, such decisions involve the type of data used, data extraction methods, data accessibility, data protection, and compliance requirements. On the other hand, process mining can be leveraged to detect silent internal attacks on data. It can quickly identify abnormal behavior in the company’s internal network and indicate apparent security breaches. Therefore, data is integral to process mining, and the security of which should be the core objective of software applications and associated teams. Key Privacy Metrics in Process Mining In order to evaluate the privacy of specific data, owners should decide on particular metrics for measurement. These privacy metrics tally the security level of each data in terms of disclosure and are broadly categorized under the following sub-heads: Bounded knowledge: Data is restricted with specific rules to avoid disclosing confidential information. Need to know: The unnecessary data is eliminated from the system to prevent any breach. This metric controls data access. Protected from disclosure: Data confidentiality is observed during data mining using the classification method. Data quality metrics: These metrics measure the loss of information/benefit, while the complexity criteria validate the efficiency and scalability of different techniques within this scope. Process Mining and Data Capture – Key Points to Consider Since process mining extracts granular data at the process level, care is taken to ensure that any new process doesn’t come into conflict with personal data policies. Owners should also ascertain that software solutions for mining processes comply with the specific data security requirements. Therefore, people involved with the entire system must consider a few data capture points. Access to raw data: The process mining team requires access to corporate data to understand what’s most important for analysis. Here, the company can choose and grant access to specific datasets for further research. Choose the right strategy: Besides mining processes for raw insights, the team also translates the raw data into broad terms and updates it into dashboards. Later on, the respective team can decide what features to focus on. Filter: Occasionally, the company tracks information that doesn’t require further analysis for specific processes. In this case, the data can simply be omitted from the system. Datasets that are sensitive or do not directly impact the business analysis outcome are deleted to maintain the focus only on valid and relevant data. Pseudonymization: Encrypting the information to protect the confidentiality of sensitive information prevents users from correlating them to real data specific, like specific names, addresses, or other PII data. For instance, if the company wishes to maintain secrecy about employees directly involved with process-related tasks can follow this approach. Here, the case identifier’s name is replaced with numbers. Anonymization: This is similar to pseudonymization, where the names are replaced with unique pseudonyms instead of numbers. Hence, unauthorized users cannot identify individuals’ names or confidential information about them from the available data. Conclusion Besides handling data in bulk daily, enterprises using online systems leave behind their digital footprints. These footprints are valuable data captured by process mining to examine how employees execute each process and sub-tasks. Needless to say, mining for such insights is done with the company’s best interests in mind, namely, to optimize operations and resources and derive maximum value. However, such datasets carry sensitive information of various interested parties, any breach of which can prove highly hazardous for all. Therefore, data is the primary source for process miners to carry out their objectives, but the company must ensure the data is handled with care. Hence, data security is a significant factor in process mining. Have A Look :- How to Get Copy of a Divorce Decree 7 Secrets To Make Your Baby Fall Asleep Faster All That You Need To Keep In Mind Before Selling On Facebook

Data-Centric vs. Data-Driven Organizations

Data-Centric vs Data-Driven Organizations

What’s a Data-Driven Organization?

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

Clover Station for Liquor Store Management

Why Contract Management Software Is Essential for Your Tech Company

Content Rally

Content Rally wrapped around an online publication where you can publish your own intellectuals. It is a publishing platform designed to make great stories by content creators. This is your era, your place to be online. So come forward share your views, thoughts and ideas via Content Rally.

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How To Cancel Microsoft Subscription? Step-By-Step Guide

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Process Mining and Data Privacy – Key Points to Remember

Data-Centric vs. Data-Driven Organizations

Data-Centric vs Data-Driven Organizations

What’s a Data-Driven Organization?

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

Share this Article

Clover Station for Liquor Store Management

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Content Rally wrapped around an online publication where you can publish your own intellectuals. It is a publishing platform designed to make great stories by content creators. This is your era, your place to be online. So come forward share your views, thoughts and ideas via Content Rally.

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Follow Us

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