Sharepoint 2019 vs Sharepoint Online

Now that Microsoft has released updates to SharePoint 2019, you may be wondering which system will offer you the biggest bang for your buck: On-premise SharePoint 2019 vs. SharePoint Online. There are pros and cons to each, so the answer isn’t cut and dried. To find the right system for your business, you’ll have to take a closer look at all of the ways they differ.

What is SharePoint 2019?

SharePoint 2019 is an umbrella term for Microsoft’s latest edition of the web-based platform that helps organizations manage information. There are actually three versions of SharePoint: Online, Server, and a hybrid of the two.

When organizations want to compare the features of SharePoint 2019 vs. SharePoint Online, they’re usually looking for information about how the 2019 edition of SharePoint Server differs from SharePoint Online. This is a common question in industries that collect and organize large amounts of data, such as healthcare facilities and financial service providers. These organizations want to know which tool will help them manage sensitive data effectively while maintaining low overhead.

You may be asking this question now because the SharePoint Server edition changed in 2019. Some of the features that were once only available in SharePoint Online are now offered in the latest Server edition, prompting some organizations to make the switch from Online to Server. 

To make this decision, you first need to consider the differences between the on-premises version of SharePoint 2019 vs. SharePoint Online.

What is SharePoint Server and SharePoint Online?

SharePoint Server is installed directly on your existing infrastructure. It’s an on-premise data management tool that requires you to maintain your own servers. There are two editions of this service: Enterprise and Standard. The free edition, called Foundation, was discontinued in 2016 and isn’t supported by the latest SharePoint update. 

By comparison, SharePoint Online is an off-premise version of the service that offers many of the same functions and features as the Server edition but doesn’t require you to manage any servers of your own.  

In 2018, Microsoft updated the features of SharePoint Online, including improvements to communication sites, cloud searches, and a sleeker user interface (UI) for its dashboards and portals. Later that year, Microsoft also rolled out changes to SharePoint Server with its 2019 edition. For the first time, users could build and access communication sites with the on-premise service. Users also had access to more file and folder sharing options, cloud connectivity (including hybrid systems), and a modern UI. 

Although SharePoint Server 2019 and SharePoint Online now share some core functionalities, they’re still radically different tools. To make an apples-to-apples comparison, you should look at the differences between Enterprise SharePoint 2019 vs. SharePoint Online. The Enterprise version of SharePoint 2019 Server is more similar to SharePoint Online than the Standard version because the Enterprise version has more features and cloud search options.

SharePoint 2019 vs. SharePoint Online: The Key Differences

Both SharePoint Server and SharePoint Online have these features in common:

    • Template creation options;
    • Mobile and cross-browser support;
    • Permissions management;
    • Document sets and management options;
    • Online server access;
    • User authorizations and cloud security;
    • Design manager tools;
    • Content search portals and managed navigation; 
    • A simple user interface; and more.

    With SharePoint, operations become much more efficient overall, saving your organization time and money.

    The Cons of Using SharePoint for Healthcare 

    There are a lot of benefits of SharePoint for healthcare, but it does have a few limitations.

    One challenge is that SharePoint offers many different applications and features which can be difficult to navigate for first-time users. Without training, your staff may input data incorrectly or feel overwhelmed by the new system. As a result, your staff may not know where to find the latest patient information, leading to potential health risks and liabilities. Some staff members also find that the system is too time-consuming to use on a daily basis. These issues can be resolved with training and better planning.

    Another problem with SharePoint for healthcare is that it’s often difficult to know where to start. It has massive number of features and it isn’t always clear one is appropriate for your organization’s needs. This is why many healthcare facilities hire an IT consulting firm to help them seamlessly migrate to a SharePoint system.

    Security is another potential problem with SharePoint for healthcare. The more authorized users you have, the more security vulnerabilities exist within the system. This is especially true if you fail to identify these vulnerabilities or train your staff on security best practices. Security problems may even lead to HIPAA violations down the line.

    When you identify the specific features that your organization will use, train your staff on how to use them, and close common security loopholes, your new SharePoint system will run smoothly.

    Do You Need Something Besides SharePoint? 

    SharePoint is a great tool for many organizations in the healthcare industry, but it won’t transform your facilities and operations by itself. Many healthcare companies hire firms that specialize in data storage, user dashboards, and documentation. Working with a third-party firm is superior to using SharePoint alone because:

    • Data experts will assess every aspect of your data collection and storage process, ensuring you’re collecting high-quality data and keeping it secure. 
    • The firm will come up with a custom business strategy, including a new data analysis system that helps you identify areas where you can improve. 
    • Web platform designers will make custom dashboards for your staff and patients that are intuitive and require no additional training to use. 
    • You can generate detailed visuals from all of the data you collect to make more accurate business decisions. 
    • You’ll rest easy knowing that the firm is aware of all current HIPAA regulations and data security best practices. The firm will take all necessary steps to protect sensitive patient information.

    However, there are differences between an Enterprise license of SharePoint 2019 vs. SharePoint Online: 


    Enterprise SharePoint 2019

    SharePoint Online

    Distributed cache support



    Database support



    Host-named site collection



    Personal sites 



    A business intelligence center



    Custom site provisioning and definitions



    Works out of the box

    No (requires some installation)


    In general, SharePoint Server can do almost everything that SharePoint Online can do. The main drawback to using SharePoint Online is that administrative and publishing tasks are much more limited.

    It’s also important to consider prices.

    You can purchase SharePoint Online on its own or bundle it with another Microsoft tool like Office 365. If you buy a standalone license, the service costs between $5 per user per month and $20 per user per month, depending on if you’re buying the basic service or a more extensive package that includes more features.

    An Enterprise SharePoint Server license costs approximately $7,000 per server. However, that varies depending on your location and other installation factors. You’ll pay about $100 per user for this service. The cost of keeping the servers running (air conditioning and other infrastructure) is also higher overall.

    SharePoint Online is much cheaper than SharePoint Server. Some organizations will find the extra cost of SharePoint Server worthwhile

    Choosing Between SharePoint 2019 vs. SharePoint Online

    Both the Server and Online editions are robust systems that will help you share and organize your information effectively. If you want to customize the system, then the Server edition is the best option because it offers greater flexibility.

    The Server edition is also generally more secure than the Online edition. You have complete control over your data and can implement additional precautions like firewalls to prevent data breaches. However, SharePoint Online is also a very secure system, with the latest cloud security best practices to protect sensitive data.

    If you’re on a tight budget, SharePoint Online is the best choice. It’s far less expensive than either the Standard or Enterprise editions of SharePoint Server. It’s also a cost-effective option for small and large enterprises alike. Small businesses can run a lean, agile system at very little cost. Large enterprises won’t have to pay for dozens or even hundreds of individual user licenses for the SharePoint server. The more users you have, the less cost-effective SharePoint Server is overall.

    To help you make a final decision, ask an experienced IT services firm for advice on whether to choose on-premise SharePoint 2019 vs. SharePoint online. A team of data scientists and IT experts will explain the strengths and weaknesses of each system for your specific organization and assist you with making this transition without losing any important data.

    Alternatively, you can ask the firm whether it supports features that neither of these SharePoint editions have. For example, if you’re simply looking to organize your data more effectively, communicate and collaborate on projects with your peers, and locate your data from a user-friendly dashboard, then an experienced IT services firm can create a custom system that includes all of these features.

    A system like this is more customizable than SharePoint Online and may be more cost-effective than SharePoint Server. By exploring all of your options, you’ll find a system that makes data management easy.

    Contact Tek Leaders today to learn more about the pros and cons of on-premise SharePoint 2019 vs. SharePoint Online. We’ll offer you advice on how to create the most effective data management system for your company. If you want to hear more about the custom data management systems we offer, you can reach us by email directly.

    Author: Shashank Reddy Tummala.

    Shashank is the COO of Tek Leaders inc.He helps SMB’s to achieve their goals in their journey of Digital Transformation.

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    The Most Effective Data Analytics Strategies in the Insurance Industry

    When I began my career as a financial reporter for the insurance industry, the data analytics process was incredibly time-consuming and messy. We kept all of our data in an information silo and if we wanted to analyze it, we had to do so by hand. What’s worse, we didn’t always have the most recent information at our fingertips. Brokers often had one set of numbers while underwriters had a completely different set.

    To get more organized, my company hired an IT firm to handle the entire data analysis process. The firm used a number of proven strategies to improve how we collected and processed our data, including predictive modeling, fraud detection and demographic analysis. These three strategies can help you get the most value from data analytics in the insurance industry, and offer the best service to your customers.

    The Importance of Data Analytics in the Insurance Industry

    Data analysis is especially important in the insurance industry. That’s because agents, brokers, financial reporters and other insurance professionals have to gather large amounts of data from their policyholders and process every single number effectively. Everything from premiums to risk factors and a customer’s financial standing must be carefully collected and analyzed.

    To get the most benefit from all of their data, insurance companies need to implement the most effective data analytics strategies. Those strategies are: 

    1. Use predictive analysis to optimize premium pricing options; 
    2. Collect data that can be used to detect and prevent insurance fraud; and 
    3. Analyze which lines of insurance are most useful to customers.

    When you focus on these three methods, you’ll leverage your customers’ data in a meaningful way, make a greater profit, and offer the best possible services.

    Use Predictive Analysis to Optimize Premium Pricing

    Insurance companies use advanced statistics and predictive data analysis—commonly called the law of large numbers—to determine how much, on average, policyholders should pay based on their histories. However, this method isn’t foolproof. If an insurance broker doesn’t use the most reliable data analytics strategy, then the premium the broker calculates may not be accurate.

    For example, a policyholder with a squeaky-clean record or who is in perfect health may be offered a premium that is much higher than it should be. That policyholder may well be dissatisfied with the service. Likewise, a policyholder with a spotty record or hidden risk factors may be offered a premium that’s much lower than it should be. The result is greater financial risk for the company.

    By using the most reliable data analytics in the insurance industry, you can overcome these challenges. Experienced IT firms can collect and analyze this data for you, allowing you to make better predictions about your policyholders’ behavior and risk factors. In the past, this level of in-depth data analysis would have taken brokers and financial reporters far too long to calculate themselves. With help from [LINK WHEN LIVE a fully-staffed IT firm], this level of detail is much easier to achieve, resulting in far more accurate predictions.

    After you improve your predictive analysis process, you’ll be able to offer your lowest-risk customers the low premiums they desire, helping you nudge out the competition. Meanwhile, your highest-risk policyholders will pay a fair premium based on their histories, shielding your company from significant financial burden.

    Detect and Prevent Fraud in Real Time

    Fraudulent claims have always been a serious problem in the insurance industry. The reason why this is such a difficult problem to solve is because brokers, actuaries and investigators often lack the information necessary to detect fraud in real time—much less prevent it.

    But what if I told you there is a way to not only respond more quickly to suspected cases of fraud, but also to prevent them entirely? Implementing more accurate data analytics in the insurance industry is one of the most effective ways to combat this issue and stop would-be frauds in their tracks.

    There are two ways to use data analytics for fraud detection and prevention.

    1. Gathering all pertinent information: IT firms can collect data related to all of your claims and screen them for common fraudulent tactics. The more information you gather, the better chance investigators have to identify the fraudulent claim. [LINK WHEN LIVE Cloud data storage] and powerful analytics software make it easier to identify fraudulent claims that would have gone undetected in the past. 
    2. Predicting when fraud is likely: Modern data analytics software can do more than just identify past cases of fraud—it also makes it harder for people to commit fraud in the first place. The most common auto insurance scheme happens when a policyholder claims damage to a vehicle, but never repairs the damage. Knowing this, you can require policyholders to submit proof of repair before they’re compensated fully for the claim. Predictive analysis helps you identify patterns like this and close notorious loopholes in the policy’s terms. 

    As predictive data analysis in the insurance industry becomes more common and extensive, we’ll likely see far fewer cases of fraud in the future. This, in turn, will reduce your company’s financial risk while decreasing the cost of premiums for honest customers.

    Analyze Which Lines of Insurance Are Most Needed

    Data analysis in the insurance industry can also help brokers create desirable new plans for their customers. Because insurance companies rely so heavily on the law of large numbers, customers often end up paying for services that they’ll never use. For example, a man without children may have a policy that includes dental and medical care for dependents under the age of five. He will never use this service and may feel that he’s wasting money on it.

    By carefully analyzing the most common needs of your policyholders based on detailed demographic information, you’ll avoid offering your customers more or fewer services than they’ll actually use. While it isn’t possible to offer a customized plan for every individual, when you improve your data analysis, you’ll get much closer to offering plans that meet almost all of your customers’ needs. . 

    The result is that your customers will only pay for the services they are likely to use, which improves their satisfaction. Moreover, your brokers will have an easier time marketing these plans to customers, which could lead to more sales and higher customer retention. It’s a win-win situation for your company and your customers.  

    How to Apply Data Analytics Strategies in the Insurance Industry

    Now that you know which strategies to focus on, you’ll need an experienced IT firm to help you achieve your goals. Tek Leaders offers comprehensive data analytics for the insurance industry, including detailed consumer analytics, fraud prevention techniques, and predictive modeling. We have worked very closely with some of the top insurance companies in the country to help them provide the best services to their customers and reduce financial risk. Using these three analytics strategies, you too can harness the power of your data.

    To learn more about the benefits of data analytics in the insurance industry, contact Tek Leaders today. Our team of experts will help you create an effective business strategy centered around detailed data analysis. Or, if you have more questions about our data analytics services, you can reach us by email directly.

    Author: Shashank Reddy Tummala.

    Shashank is the COO of Tek Leaders inc.He helps SMB’s to achieve their goals in their journey of Digital Transformation.

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