What is Business Intelligence or BI?

The Business Intelligence (BI), in Castilian Business Intelligence or Business Intelligence, is the set of processes required to offer a software solution that allows us to analyze how our company is working. This knowledge will make us optimize this operation by making appropriate decisions.

Within the world of BI, there are multiple possible solutions. As each company has its own delusion, a completely valid solution for some companies may not be valid for others.

We can help the automotive sector to give an example. While for a company, the perfect solution will be a city car, for another, it will be a 4 × 4, for another a minivan, for another a truck, etc., there will even be one that will need a complete fleet of vehicles.

Within BI solutions, there are different options. By relying on rapidly developing technologies, these solutions cover new aspects and improve others. So those included first will give way to others that will emerge over time.

In any case, the most common solutions (all together or only some of them) are based on the creation of both predefined and customized reports, along with their automated distribution ( reporting or corporate reporting ).

Some solutions would be:

• The forecast results ( forecasting )
• Query tools for advanced users ( query ) including access to multidimensional cubes ( OLAP )
• Dashboards ( dashboards or scorecards )
• Special data warehouses ( data warehouse or datamarts ).

In fact, BI solutions are in the process of transformation. Encompass from the systems used for measuring corporate data and related to those who also support analysis, forecasting, and data discovery capabilities (reports Data Discovery ). In this way, we can see that Business Intelligence relies heavily on Big Data with data analysis and data development.

Business Intelligence Solutions To Improve Processes

Let’s take an example to see how these technologies are used; This example is that of a large company where all these functionalities are required, so it will help us understand where each of them fits in our companies. Imagine a business that has different software programs in use: an ERP, a program specially developed to control its production systems, a CRM, etc.

Although it is not always necessary to cross data from one system with all the others, it is done to some extent. This implies that it must be done externally. For example, in spreadsheets, advanced users collect data from different systems and cross it.

It is a very error-prone system, apart from being expensive (it always needs available personnel), and slow (this person has to prepare the type of information required in each case). BI solutions allow you to make it in advance: there are different types of solutions (for example, those based on metadata), but the best known are those of individual data warehouses.

These allow us to have these data available, having previously treated them to correct and/or discard errors (errors as shocking as dates from other centuries, poorly written geographical areas, etc. are shared). In addition to storing them with the previous groupings that are required (temporary, geographic, by type of business, others), so than any report, scorecard, etc., that needs them, will be much more efficient.

These special data stores have many more interesting functionalities. However, for some specific cases, they may not be the perfect solution (this post is not intended to be a treatise in this regard): as always, it will depend on each case, and for this, there are specialists in these technologies.

Use Of Data Depending On The Department

Once we have these data prepared and crossed, there will be users who will only need the development of a part of them.

For example, predefined reports with a certain cadence will be useful for commercial visits every week. Others, such as sales managers, will require aggregate data on product sales by vendors and geographic areas in addition to data for the correct monitoring of budgets and sales forecasts.

Managers or those responsible for objectives will need dashboards to follow the evolution of the company’s key indicators. In the hospital sector, they will be used to measure the use of beds or visits per patient. Others should be able to cross data to provide knowledge and discover patterns that modify or create new ways of working. The example of beers and diapers is famous: as having young children, you cannot go out so much, they tend to consume more at home, so they got close to each other.

The Advantages Of Business Intelligence Solutions

But why are BI solutions required? What do they contribute, and how do they help us? From the company, years ago, the focus was on having management programs that improved day by day. These programs are the so-called ERP ( Enterprise Resource Planning ).

It should be borne in mind that there are very diverse and more or fewer functionalities. They allow us to control aspects such as delivery notes, orders, invoices, customers, products, manufacturing, accounting, sales, to payroll.

There are also other programs, such as CRM ( Customer Relationship Management ) to control sales activities. With the use of all these computing solutions, a lot of data that used to be wasted is stored but can be used. In fact, ERPs or CRMs tend to have a series of predefined reports to provide us with information about part of them (sales reports, for example). The good news is that they offer more and more options than those contemplated in the BI world.

In any case, they are not usually very complete, and they are also assembled according to the data they include. If we use different computer programs in our company, they will only be valid for your data, so you cannot have a joint vision. Furthermore, the structure in which they reside is not optimal for their exploitation. That’s where Business Intelligence solutions come in to solve all these shortcomings and limitations.

Business Intelligence Success Stories

Toyota Motor Corporation

The Toyota Motor Company is not the first time that it has been at the forefront of innovation in the global business sector. We highlight it because the automaker incorporated information management software that allowed it to reduce production costs, achieving a higher number of clients.

Bridgestone Firestone

Another example of a motor company that uses BI is Bridgestone Firestone, who uses information management software for the distribution of its products and for the logistics of receiving and purchasing raw materials exported from different parts of the world.

Feeding chains

Also, large supermarket chains such as Wal-Mart or restaurant chains such as Wendy’s and Ruby Tuesday and Friday’s use Business Intelligence for decision-making based on the data provided by customers, being able to maintain loyalty and maximize sales.

Within the school, we have students trained in new technologies such as Business Intelligence, Big Data, or Artificial Intelligence. On this occasion, we follow the trend of the labor market with training in BI. Discover everything you can learn.

Also Read : 5 Ways To Protect Your Business Data

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It is proposed to give a vision of the state of Artificial Intelligence from the perspectives of the market need, the solutions that are beginning to be proposed, and the reality of Artificial Intelligence in Customer Experience today. Let’s start!

Why Customer Experience Needs Artificial Intelligence

We live in reality disrupted by the glass of digitization; proof of this is that users spend part of their time living in the digital world. 85% of people have the Internet, and we spend an average of 3 hours a day interacting with social networks.

This has become a highly valuable showcase for brand seeking to see how they can enrich the experience of these “virtual users” through digital experiences or Customer Experience.

The Internet has become a vast sea for companies where they can impact a large number of potential customers. At the same time, it is also a massive sea for users where they can find and choose the product that interests them most. It seems complicated, doesn’t it?

The Internet is a sea where to impact, and it is. This has generated high competition in the brands that are struggling to be able to offer the lowest prices and adjust their internal costs in order to bear the impact.

To make matters worse, there is a disruptive factor that is due to digital-native companies. These have the advantage of complete digitalization of their processes and have built large companies that have entered into a race to digitalize themselves as much as possible and be competitive. Nothing new under the sun.

Examples Of AI In Customer Experience

One of the values ​​of Amazon is its customer service and the treatment in search of user loyalty. Nowadays, people expect the least complication when they have to make a purchase.

Netflix prioritizes the development of service customization algorithms so that when we enter its platform, we have a feeling of happiness to see that it is recommending series that we want to see at that time.

On the other hand, we have Glovo, which focuses on the immediacy of product delivery and the convenience of being able to order whatever we want without having to waste time and effort on the move.

All of them propose new business models that adapt to a generation that seeks trust, comfort, and immediacy above the classic brand and quality values. The use of Artificial Intelligence in processes related to Customer Experience allows us to develop processes that we had never imagined.

How To Introduce Artificial Intelligence In The Company?

The million-dollar question is how to make the most traditional companies catch up to avoid dying in the attempt of digitization and get to apply Artificial Intelligence and thus focus on Customer Experience.

For this, we must understand the structure of a large company with a large number of employees and distributed in multiple departments with different objectives to meet throughout the year.

For example, an extensive product sales company will have e-commerce, a warehouse, a back-office service to replenish stock, a marketing department, a customer service department, and a CRM.

Departments And Areas Of Action With In A Company

Until recently, these areas were not oriented in the same business direction and provided a distorted view of how the company was operating. However, all these departments are activated when it comes to a sale and must be coordinated to guide the company towards its growth and development.

Coordinating them is one of the companies’ priorities, and they have led them into a cycle of technological development that is sustained on four legs. These allow them to make improvements in their processes and gradually implement digitization.

Implement Technology In A Company

This begins with the first stage of Innovation and Design that allows us to understand where we are and what we are looking for both in the short and long term. The plan will be reflected and defined in a roadmap where all the actions and processes to carry out will be. Once analyzed, it is implemented with a team that has knowledge of the digital field and about the tools that best suit our business.

Finally, and to understand the next steps in innovation that we must take, it is necessary to analyze how the established process is working and whether it needs improvement.

Thanks to these processes, companies will be able to refocus their efforts on what matters and what should be at the center of their business: the users and, therefore, the Customer Experience. Is Artificial Intelligence the way to do it? It is undoubtedly a tool that we must use.

It is here where technologies enter that little by little will shape a scenario where Artificial Intelligence can gain more and more weight and give value to our companies. But that, in the next chapter!

Also Read : Artificial Intelligence And Autonomous Cars. A real Threat To Humans?

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