/ Publish analytics to extend data-driven insights to stakeholders
Publish analytics to extend data-driven insights to stakeholders
In today’s fast-paced marketplace, data analytics is no longer regulated in the back rooms of data scientists’ offices. New AI/ML tools are breaking through the challenges of everyday use so that everyone, from the individual leveraging an online ecommerce platform to a Fortune 500 enterprise-level business is able to integrate this technology.
The only problem is that sharing these valuable data-driven insights can be difficult whenever you have so many users with different needs, questions, and queries. That is why using a publish analytics application to streamline this communication benefits your business operations and helps build a strong relationship with your users, clients, stakeholders, team, and more.
What are published analytics applications?
To provide the best experience for your clients, customers, and stakeholders, you must deliver a seamless and personalized user experience. In today’s digital world, this means providing data-driven insights that help businesses make better decisions. With published analytics applications, you can easily build powerful dashboards that are ready to share across devices or export into different formats.
These easy-to-use apps will boost your data-driven insight efforts by centralizing control of application builds, creating stronger relationships with partners and stakeholders, and making it easier to onboard new users.
Published analytics applications are BI applications that allow you to publish your data to the cloud or other destinations. Publishing analytics allows users in an organization to view dashboards and reports on a self-service basis, enabling them to make better decisions faster.
Essentially, you are extending your self-service capabilities by allowing users or clients to dig through shared data on an easy-to-understand dashboard. You are segmenting a portion of your business intelligence platforms or tools so that external people can manipulate them in a scalable format.
How do these applications boost data-driven insights?
As you know, data-driven insights are the lifeblood of your business. They help you make smart decisions that lead to revenue growth and competitive advantage. But how do these applications boost data-driven insights?
This is achieved in two primary ways: data visualization and the discovery of data-driven insights. You are giving clients, users, and others the ability to leverage the following benefits of publishing analytics:
Presentable dashboard building
Dashboards are a visual representation of your data. Using customer data, they can tell stories about your customer’s journey and give insights on what can be done next to improve their experience.
These tools make sure everything is easily accessible by using an intuitive layout. Your goal is to make it easy for people who don’t know the technical ins and outs of analytics tools to pick them up quickly and understand how they work (and why they’re essential). A well-laid-out dashboard will give them all the necessary information without additional explanation or training.
You want published analytics to deliver the critical information your clients want in a familiar use case. That means if they interact with your business primarily through a mobile application, then the analytics should be manipulated and reported on with visuals that match that factor.
Stick to the platforms and technology your customers use and publish your analytics as embedded solutions within the existing software, if possible.
Export data-driven analytics
Offering your clients and stakeholders the ability to export valuable data that has been carefully analyzed improves the user experience of analytics applications. This could be in common formats like PDFs or other types of files.
External publishing is not limited to software on your machine. Consider cloud applications and being able to integrate information gathered from a variety of sources into a single analytical solution. You want a published analytics application that is highly flexible and works with the technology your end users prefer.
Benefits of publishing analytics
The process of traditional analytics is often complex and highly time-consuming, often requiring a massive IT team to implement. With analytics applications that have publishing capabilities, everything can be managed through a self-service user interface. It drastically reduces the time commitment of your team and allows users without BI experience to still take advantage of these tools. Other benefits include the following:
1. Centralized control of application
There is no reason to relinquish control of your analytics application to an internal IT team or engage an outsourced team to make everything work well. Most modern solutions are already built with simplified user interfaces that do not require extensive product support.
This way, you and your end users can quickly build dynamic, modern reports based on the data being presented.
2. Build stronger customer, partner, and stakeholder relationships
Publishing analytics can also be used to improve customer, partner, and stakeholder relationships. For example, by providing the correct information at the right time, you can reduce customer churn and increase their lifetime value. You may also be able to improve your sales pipeline by using data to segment prospects into groups that are likely to purchase or renew based on specific characteristics.
If you’re managing a business with partners or suppliers, publishing analytics will help you identify opportunities for collaboration and new revenue streams by giving access to valuable data about customer behavior across channels over time—like which customers prefer to buy through certain channels (online vs. in-store) or how much they spend when purchasing certain products.
3. Create a personalized and rewarding user experience
When publishing analytics, it’s important to remember that your clients and stakeholders don’t necessarily want the same things from your data as you do. For example, a client might not care about how many users have opened an email campaign but instead want to know where their best customers are in terms of location or industry. This can be achieved by creating bespoke dashboards and reports for them based on their unique needs and goals.
You may even consider adding user-friendly features like filters or pivots so they can easily find what they’re looking for when they’re presented with a large amount of information at once. All these little details can go a long way towards ensuring that your users are satisfied with the application—and, therefore, are more likely to use it again down the line.
4. Quickly onboard apps, features, and users
The user experience of your analytics tool is vital to its success. A bad user interface can make it difficult for users to navigate the platform and discover new features or apps that are available. If a user doesn’t understand how to use a new feature or app in the analytics tool, they will not be able to use it effectively.
This is why onboarding is so important. By spending time upfront setting up your analytics tool for your users, you can make sure that there’s a clear path from getting started in the first place all the way through using advanced features as needed later on.
The same is true for any new innovations or upgrades you may add in the future, including adding access to groups of new users. You want an analytics application that can easily be managed so whenever a change is necessary, anyone on your team can implement it with little IT training.
General tips for publishing analytics
When you first integrate any analytics applications with publishing capability, be sure to test them as if you were your target end user. You want to configure these systems so they deliver data-driven insights that are highly relevant to the user in question. In other words, a government regulatory official is going to want different information than a potential client.
Be sure all of your modes of delivery are in place and the platforms and technology being utilized to interact with your new publish analytics application are working properly. Try to iron out any cultural issues or bugs with the software before making it live for end users. Your goal is to reduce the challenges for onboarding prior to launch, so there is little to no need for end-user support that will tie up your resources.
We hope this article has helped you understand how publishing the outputs of analytics applications can help your business. From building strong relationships with your customers to delivering a more personalized user experience, the benefits of extending data-driven insights are easy to see.
You should be able to easily centralize the administration and management of these new BI tools for your business operations without the need for an extensive internal or external IT team. The end goal of expanding your data insights and capabilities would be easily attained with a bespoke and robust analytics application integration.
Check out some related resources:
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