Invest In The Right Person To Get The Basics Of Web Analytics

Written by Hemendra Singh on July 22, 2019 | Updated on: December 5, 2019

Invest In The Right Person To Get The Basics Of Web Analytics

The performance of your website may deteriorate at times and when it does you must consult a web analyst for proper remedies. The analyst will check all the metrics and parameters and take all the data available into consideration to find out the flaws within the site.

It is important that you get your analytics straight and the best way to ensure that is to consider and invest on people. This means the organic visits to your website to consider the specific reasons for the decrease in web traffic and repair it to increase it to the desired level, if not more.

The analyst will use several tools and methods including:

All these processes followed will ensure that your site gains the desired attention at any level and forms whether it is for major marketing campaigns or for business or any analytics conferences.

Unfortunately, most of the business owners walk away from such web analysis thinking that their business is behind such analytical capabilities. However, this is wrong practice followed that keeps these business far behind from their competitors.

However, the reality behind such ignorance or avoidance is that these business owners are not yet acquainted with the most advanced machine learning algorithms which prevents them from creating a proper road-map to reach to their business goals more effectively and quickly.

You being a responsible and prudent business owner should not follow such practices and miss out of the wide range of opportunities that the internet has in store for you as well as your business.

Invest in the right person

All you have to do to ensure a siteimprove web analytics is to invest in people. Typically, data scientists will help you to make your site better performing and high yielding. Demonstrating their rare mix of business acumen and analytical expertise, they will ensure that you and your business move in the right path as it is required today to beat the competition.

Web site analysis is in high demand and therefore hiring one of such most sought after talents for your company is the first and most effective step to build your analytics capabilities.

However, getting the right person on the deck can be a difficult task in itself. You will have to ensure a few things before you invest on such a talent to ensure that you get the desired results. You will need to ensure that the person has:

  • The required skill set by a data scientist for better web analysis that has evolved over the time
  • The ability to act both as a creator and translator of data-driven and dynamic analytics solutions for your business and
  • The knowledge of the modern web analysis technologies and are also progressively the conduit to the technology teams.

Ideally, you will need to look over and beyond purely technical skills on the resume to seek out a talent that can communicate with more complex topics in such a way that you as a business user can understand.

It is also required to ensure that the data scientists has a fair bit of knowledge and understanding of the technology environments from where the data will typically originate and to which the solutions prepared will be deployed. In short, you will have to look for a data scientist who has a diverse background.

Also Read: Why Salesforce Dx is Beneficial for a Company’s Business Relations?

Getting back to the basics and beyond

When you have the right data scientist taking care of the performance and functionality of your website, you will not only be able to get back to the basics but will also be able to look far beyond that. In this modern business world, it is not enough to look for the best answers to a problem of your users in the newest, coolest and most advanced algorithms. You will need to deploy more sophisticated machine learning applications for that matter.

It is true that in most of the cases the opportunity almost always lies in the basics itself but when it comes to web analytics, you will have to look beyond that and focus on descriptive, prescriptive and predictive statistics.

You will be able to see the difference in performance yourself that can be defined in the following way:

  • Descriptive analytics will help you to aim to provide more thorough and deeper insight into what may have happened in your website for a lower performance
  • Prescriptive analytics will help you to seek information that will help you to determine the best and most dynamic solution to a problem that will further help you to get the desired outcome among different choices available as per the known and given parameters and
  • Predictive analytics will help you to create better analysis models that will in turn help you to forecast what may happen in your website.

Typically, when it comes to web analytics, all these descriptive, prescriptive, and predictive modeling are actually the related tools that will help in data science. When you build off of these preliminary analytics methods it will help you to create a solid ground-work for the process with better knowledge. This will help you to move to the next level in data science with more confidence that may very well involve machine learning that is more complex.

According to research it is found that when any business follows these descriptive, prescriptive and predictive techniques in the right way, they are able to answer very well about 95% of the questions that there business stakeholders have right away.

Create an actionable format

The right people working in the right way along with you will help you to create a better solution and organize your data in a better manner. All the jobs will be done in the most actionable and result driven format and will involve much more than cleaning and altering data. It will also include writing codes and running queries, experiments and testing the codes. This will ensure that results are provided to the stakeholders in a way that is best and easily consumable.

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