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What is SAP Data Intelligence Cloud? (Detailed Guide)

Data is the cornerstone of developing almost any sort of business. Without it, you won’t have a direction to go. In some cases, it will be almost impossible to even come up with a decision. 


When you collect data, you essentially accumulate information on the market or the audience base you’re targeting. Hence, if you don’t know anything about where you want to go – how can you reach your destination? You get my point, right? 

That’s why collecting data and assessing the same has become a crucial part of developing an organization. However, there’s something to think about here too. 

Whether you are representing an MNC or an SME – it’s highly likely that your data flow will be incessant, regardless of your industry. Therefore, it might get difficult to evaluate what you are getting on the go. And that’s why you need to find a place to store everything. 

This is where SAP Data Intelligence Cloud comes in. 

As an SAP-based offering, it comes with loads of features that can help you accumulate a huge amount of information, load them securely, and gain vital insights from them. And you’ll be able to do all these with just a single click or two. 


Well, then, let’s find out more about SDIC and how it works. 

SAP Data Intelligence Cloud – A Brief Overview

SDIC, in essence, is a comprehensive data management and accumulation program. The tool, in general, works as an information orchestration layer of SAP BTP.  

Hence, you can expect it to transform distributed data on the go and sprawl it into critical data insights. And like any other SAP product, it can deliver innovation at scale too. 

The Features of Data Intelligence Cloud

SAP Data Intelligence Cloud is quite ‘feature-ful,’ considering it’s only a cloud-based service. However, in this section, we will discuss only four of them, as they’re more prominently used in the market. So, let’s get to know about them a little more. 

1: Data Integration.

Through data integration, you can connect your system with different data assets and garner a huge amount of information from them. This, in turn, can be used to enable various intelligent processes and offer support for better and more-improve decision-making. 

With the enterprise-wide data management feature, you can integrate, process, and manage all of your collected information in a unified and holistic manner. It’ll also be possible for you to support intelligent processes accordingly. 

If you want, you can also manage data across different hybrid environments through it. The tool’s cloud processing units can help you automate the process of data evaluation and reuse it whenever needed. And everything can be done from a single, user-friendly UI. 

Finally, there’s also a search system available in the tool that can help you understand all of the complex data types accordingly. This way, you will be able to augment your data recovery shenanigans and create an easy-to-operate, searchable data catalog. 

2: Enterprise Data Management. 

With this feature, you can transform almost every unstructured, structured, and streaming data into proper business insights. This way, almost every user within your organization can view a specific section you have created and perform an action on it. 

Data orchestration can be done through this feature across any on-premise or cloud ecosystem quite easily. And by collaborating with the previous feature, you can also accumulate data from anywhere and integrate them into your system for evaluation. 

The processing engines, on the other hand, can be used to assess the information and leverage the insights throughout the company. And yes, you can connect third-party apps with it too. 

3: Data Catalog.

With Data Catalog you can easily discover and organize your landscape-wide data assets, and curate your data according to the corporate quality needs or process requirements. Data Catalog can also be used to create a glossary for your business and keep all the rules and terms in it. You may keep them under different profiles for a much better understanding and boost the eminence of your enterprise data assets. 

Understanding data lineage and leveraging anonymization is also going to be much simpler and more accessible than before. 

4: Machine Learning. 

Machine learning, if used correctly, can be beneficial for a specific set of organizational tasks. For example, it can be utilized to automate the process of collecting data and organizing them in a single place. This, in turn, can save your time and increase innovation in your business. 

With machine learning, you will be able to accelerate the transition to deployment from prototype by reusing operators and models. Furthermore, it will also be easier for you to enhance as well as extend business processes through machine learning. 

Finally, with the usage of machine learning, you can also bring your company’s data science and IT team together. After all, it can be used to automate a lot of things. And these people are in dire need of something as such due to the workload they usually deal with. 

Should You Really Opt for the SAP Data Intelligence Cloud? 

In my opinion, yes. 

Using SDIC may seem a little complicated at the beginning. After all, it was created through the pinnacle of technological advancement. However, once you get a hold of it, you can – 

  • Manage your data flow excellently and make correct decisions on the go. 
  • Automate most of your organization’s mundane and time-consuming tasks. 
  • Improve your core services even more, especially in the management department. 

… and much more. 

But, as I have mentioned, it might take a while before you can get used to this tool and ensure to use all the beneficial components properly. So, it might be better to take help from someone who has worked with it before, i.e., a consultancy agency.