As an organization grows, its data and business applications multiply. Nonetheless, it's a safe bet that different teams use a variety of different applications, resulting in disparate data. If this data is not orchestrated properly, it can affect every aspect of the organization, from understanding the market, to communicating with customers, to reporting on business success.

Data orchestration is therefore necessary to unify information and help any organization function optimally. But still manual coordination is a tedious task. This task is all the more difficult as your organization is large, especially if you are starting to adopt Big data. The answer lies in automated orchestration. That is the subject of this new article.

What is data orchestration?

Data orchestration is an automated way of bringing together data stored in a variety of sources. Unifying data from these disparate systems prepares them for analysis and interpretation in order to make better decisions.

The misfortune of disconnected data

It's very simple because you just don't know what you can't see. As a result, if your data is stored in multiple locations that not all departments have access to, it creates blind spots and knowledge gaps in your business, leading to the following issues.

• Duplicate data : a lack of visibility into your data means that it is often duplicated. As organizations grow, this problem gets worse. It can In fine lead to flawed analysis results or a poor customer experience if you have multiple contact details.

• Poor data analysis : disconnected data makes it difficult to obtain meaningful information. This can impact internal and external information, whether it's about customer behavior or how your services work. It is therefore difficult to make informed decisions.

• Waste of time and resources : The time spent trying to locate, format, and verify data can be a huge waste of time for your employees. This time could be better used to analyze the results and to use them to inform business strategy and improve the customer experience.

• A deteriorated customer experience : communication with customers is largely based on data. Whether it's the name, important and sensitive data like payment details, or more nuanced data about customer behavior. Providing a customer with irrelevant or incorrect information because their data has not been properly orchestrated can be very harmful.

• Poor internal collaboration : If different teams are looking at different data sets, it's hard to collaborate properly. All of them will believe the data they have in front of them, which can lead to disagreements if they differ.

• An obstacle to innovation : an incomplete vision of information makes it difficult to make strategic decisions that lead to innovation. Data orchestration can therefore help organizations see the big picture. And in today's competitive business landscape, those who don't innovate risk falling behind.

• Processes that are impossible to automate : If there are gaps between data, it is difficult to automate processes. This can hinder the progress of your business, especially if you are looking to optimize business operations. For your automated processes to work effectively, data, applications, and processes all need to be orchestrated.

How to deal with connected data?

Some may simply suggest unifying your data by grouping it in one place? But migrating data to a single source is a colossal, if not impossible, task. On the other hand, Data orchestration makes it possible to unify data stored in separate systems.

Data orchestration allows all data and information to work in their unique applications and systems, while providing the benefits of visibility, speed, and accuracy across the organization. This orchestration ultimately allows for better analysis, in order to facilitate better business decisions.

If your data is orchestrated, you don't need to spend time and money locating, collecting, formatting, and verifying it. It's all done automatically for you. Plus, orchestrated data means you don't need to spend money on additional systems. Orchestrated data also eliminates bottlenecks such as back-and-forth data and poorly processed data..

Business information obtained through appropriate and thorough data analysis can reveal new business opportunities and contribute to customer satisfaction. Having the big picture allows business users to make better decisions.

About StoryShaper:

StoryShaper is an innovative start-up that supports its customers in defining their digital strategy and the development of automation solutions tailor-made.

Sources: StoryShaper, Bizagi.