Live dashboard of metrics from all sources

With ASCN Agent, automate collecting and visualizing data from multiple sources so you can stay updated without constantly monitoring an old metric.

High Level Overview

Data Collection and Visualization has been automated (i.e., using a system like this) to make it easy for users to perform an analysis on metrics through an instantaneous access to up to date data. Founders need to have fresh information to make quick decisions when needed.

This system will require adaptation and will need to have API keys set up on all of the sources being connected. The logic for collecting the data and then sending that data to this system, will use an HTTP API, so it allows for flexibility and scalability. The system can also connect and collect data from multiple platforms simultaneously, allowing for all reporting to occur from each of those platforms at the same time.

By using this method to automatically collect and visualize metrics (data) saves the user time, the user can spend more time conducting analyses than on the routine task of collecting information. An excellent example would be for a startup founder to monitor key metrics (i.e., user activity or financial metrics) that are critical to the company's successful management.

How Does Automation Work

Automating data collection and visualization is completed through a few straightforward steps making the entire metrics analysis process more efficient and faster. The first step requires setting up a database to store metrics so that the user can organize and structure data for future use. In addition, the user will have fast access to the information and be able to conduct analyses of that information.

The next step is to set up a Discord channel for dashboard updates. For example: When setting up a channel (#dashboard) to receive new information about the latest data at any time, the team can quickly react to changes in metrics.

Next comes the ASCN agent, which automatically collects data from different sources, which is a huge improvement over manually entering data. Since fewer manual entries occur, there's less chance of making mistakes when entering data; thus, this automated process allows us to obtain the necessary data in a faster way.

Additionally, we can use Canvas to visualize the metrics dashboard as an HTML page, so it becomes much easier to understand the data itself.

And finally, users can ask for historical data to analyze, allowing them to check for changes and make more informed decisions based on the data they received. Users will have a complete view of the situation, and they will be able to make better plans based on this information. For example, the founders of a product can use this historical data to analyze how their product has gained popularity over time in order to adjust their strategy.

How Automation is Better than Manual Work

Manual Data Collection takes a lot of time to complete and to keep updating with new information. Each time you need recent metrics you have to allocate time for manual entry and validation of this data – both of which slow the overall process down and increase the likelihood of making an error. An error can lead to inaccurate information and ultimately result in bad decisions.

Through Automation, users can receive up-to-date real-time data when the system collects, updates the metrics dashboard, and provides access to this information much quicker. The system notifies users of significant changes in metrics and allows for prompt responses to deviations so that informed decisions can be made.

As a result, not only do users save time but they also make better decisions, which is especially important for founders who must operate their businesses effectively. For instance, if sales significantly decline or the number of negative reviews increases, being able to respond rapidly may be the difference between success and failure for a business.

What Results Users Get

The reports provided by users indicate a decrease in the time required for the analysis of data and an improvement in the quality of decisions made by the user. The ability of the user to automate metric collection eliminates the redundant manual processes needed to continually update data; this ability to respond quickly is crucial for founders in responding rapidly to their business environment.

Core Results of Implementing Automation include:

• Reducing the time required to collect current data – collection of current data and having to wait hours for current data were reduced to a matter of minutes with the system;
• Improving the accuracy of the data analysis being done on a continuing basis;
• Increasing the speed of the decision-making process based on information that can be obtained in a timely manner.

In addition, users report that the notification system allows for the quick response to urgent issues with metrics, resulting in reduced exposure to risk and improved management efficiency. This type of system permits both the optimization of processes as well as improving overall business strategy, which is one of the major contributors to successfully achieving positive business outcomes. For example, implementing automation allows companies to react quickly to changes occurring in the marketplace and provide customers with additional value through service and products.

Implementation Examples

Implementation of automation in the area of data collection and data visualization through the use of the system is being implemented across multiple segments of the business community. Company founders say a live metrics dashboard provides benefits for the process of data analysis. In a start-up environment where speed of decision-making is critical, automation provides real-time access to up-to-date metrics in only minutes. This is extremely important in a rapidly changing marketplace.

According to those who have experienced implementation, automation helps businesses not only to get data but also analyze it quickly. Many social media monitoring companies use automation to assess public sentiment about their products and services and respond quickly to changes. In addition, integration with multiple data sources gives a complete overview of the business, thus allowing businesses to make better decisions.

In addition, the notification system used for measuring critical metrics provides the opportunity for companies to avoid risk and react quickly to any deviation from expected performance or trends. Companies that have implemented automation experience an increase in management efficiency and financial performance due to the ability to react to changes in demand quickly and maintain a competitive edge.

What You Will Achieve

Automating the collection and visualization of data from multiple sources produces a greater benefit than manually entering or gathering data. Users can access automated data collection, which reduces the amount of manual data. Next, unifying everything on one dashboard means that you can view information more easily. When using a single dashboard, all of the relevant metrics will be collected into one location making it easier to evaluate a business on an ongoing basis and help you make better decisions about how to run your business. Users have the ability to change how they view the information based on their needs, which will increase their efficiency in doing their job.

In addition, if there is any major change to a significant metric, users will receive notifications letting them know so that they can make immediate corrections to any deviations before problems arise. Users will not only save time when receiving a notification but also have an increase in the quality of decision making (particularly useful for those founders who are trying to operate their businesses more effectively) will occur. For example, if a notification is received about a drop in performance metrics, then this can help protect against substantial problems.

Launching Tasks

To launch the automation of data collection and report visualisation you must perform some sub-steps to ensure a successful launch of this automation. First, you must create a database to store the data (metrics). This will enforce a standardized method of storing information as well as allow users to easily access that information.

Second, you must create a Discord channel in which to receive updates from the dashboard, (for example; a channel tagged as #dashboard where all current metrics would be sent to).

Third you must deploy the ASCN agent with configurations necessary for collecting and reporting metrics from the multiple data sources. This will reduce the amount of time it takes to gather data and increase the reliability of data by reducing the potential for errors. Optionally you may choose to use the Canvas software in conjunction with the ASCN agent's collected metrics. Canvas will allow users to create HTML formatted reports therefore enhancing the visual presentation of the metrics.

Finally, to verify that everything is working correctly, you would request historical data to review. This will provide assurance that the automation of existing metric collection is providing precise data. By completing all of these tasks, you will be able to automate metric collection, which will assist in providing greater accuracy in analysis of the data from collecting metrics. For example, by verifying that the system has been working properly through actual data you will gain insight to potential issues with the system's performance and provide an opportunity to add further value through performance improvements.