How to Accelerate Data Access While Reducing Costs

For every company, faster access to data matters, even with the locally stored single-user interface. No business owner wants to waste time waiting for the reports to populate. What you need to understand as a business owner is that you don’t build these slow databases, users do.

Users will then report to you their database is too slow and access to data is taking too long. Below are simple tips you can give them to accelerate data access while reducing the cost of the whole process.

Embrace changes in data accessibility

With the increased volumes of data, lots of companies have started adding analytics to their data handling process and embracing changes in data accessibility. Apart from creating dashboards, companies are creating data teams through artificial intelligence to drive revenue and improve data access efficiencies. Companies are now combating tool fatigue by bringing data to the workers where they are.

This implies that companies have started delivering some data insights to the employees directly into their workflow via embedded analytics. Workers can make intelligent decisions on how they will access the stored data without any unnecessary interruptions. The change in how people think about analytics has improved data accessibility and made it easier for different teams in the company to compare their data.

Modern caching is being embraced to facilitate easy access to data while reducing the workload on the main data stores. New roles like analytics engineers have started to emerge whose responsibility is to address the technical aspects of data accessibility. They establish strategic methods for data access based on the workflows and other parameters.

Lean on self-service business intelligence

One of the best ways to accelerate data access while reducing costs is by leaning on self-service business intelligence. This will empower the coworkers to take care of their ad hoc data requests. They will be able to build their dashboards and reports on real-time reports regardless of the level of their expertise.

This improves access to the data as the business intelligence platform prioritizes using automation features like low or no-code SQL query builders. With the automation features, there will be the automated generation of visualizations and the easy creation of the drag-and-drop dashboard.

Prioritizing ease-of-use for the end business users helps in managing the customers well. The automated features combine so everyone can query data and analyze when interested in getting proper insights with little to no effort.

Embed dashboard into the teams’ tools

If you want a standardized dashboard to provide easy access to the data being handled by the team members, embed it into the teams’ tools. Embedded dashboards are where the team members will spend most of their time, which will go a long way to improving data accessibility within the company.

With the business intelligence platforms, you can embed data dashboards wherever there is an HTML iframe. Avoid working with tools that focus only on embedding analytics. Deal with those that embed the dashboards in addition to all other features you need for easy data accessibility.

Target the commonly used tools in the data handling process that can support the dashboard embedding for the team members to find the information they need to make decisions without ignoring the tool. It’s an easier way to improve access to data without giving a lot of work to the team members. The more work, the more resources you will need.

Facilitate data literacy throughout the company

Data literacy is the ability to read, analyze, work with, and argue with the available data. If the workers in your company have the right technical expertise to understand the data they are dealing with, they will be able to access it easily. What you need to understand is that tools don’t work on their own.

The ability of the workers to use the tools effectively makes it possible for them to easily access the data stored in the company’s database. Facilitating data literacy throughout the company empowers all the workers handling the data to ask the right questions and build more knowledge on how to maneuver data access challenges easily.

So, create a plan to educate the worker’s data literacy to enable them to interpret and use the data given to them accurately. You need to ensure that they fully understand concepts like selection bias. Selection bias comes easily to workers who handle large volumes of data daily but not so much to workers who want insight into the success of the marketing strategy.

Use Access utilities and split database

Access has mainly two utilities that can be used to improve the performance of data accessibility. The performance analyzer lists the potential challenges facing data accessibility and provides correct suggestions on how these problems can be solved. You can also use the table analyzer to normalize data for better performance. The utilities for the table analyzer are simple to run, and the workers will find it easy to apply the resulting suggestions with the least effort.

Access stores the data and user interface files together by default. Splitting these single data files into two can help improve data accessibility. This means one file will contain the data and the other one user interface objects, enabling easy retrieval of stored data.

Workers will perform their operations on the front end with the user interface objects that help retrieve data easily. There are many reasons you should split the database, but one of the key reasons is to improve performance through easy access to the stored data.

Ready? Start making data more accessible

No matter the nature of your company, you need to improve your data accessibility. And one of the best ways to achieve this is by educating every worker in your company to be their own data analyst. And then embed their dashboards on tools that are frequently used.

Ensure that you fully understand the working of the business intelligence service and lean on it to empower workers to take care of their own ad hoc data requests. Don’t forget to embrace changes in data accessibility to keep your operations up-to-date.

Related Articles

Leave a Reply

Back to top button