How applications benefit from embedded analytics technology

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With the continuous improvement of enterprise information construction, most enterprises have deployed and used management and manufacturing execution information systems including ERP, CRM, OA, and MES. These business systems have accumulated a large amount of business management data in actual operation. In the era of big data, enterprise managers and analysts pay more and more attention to digging value from these data, so companies have begun to try various data analysis tools.

However, the most common analysis or visualization tools on the market, taking business intelligence BI software as an example, generally require independent deployment by the enterprise, are separated from the core business system of the enterprise, and cannot be deeply integrated with the business system. This results in The user wants to analyze the business-related data while handling the business process to ensure that the process management or decision-making is scientific and other similar real-time analysis needs cannot be well met. For example, when a user needs to approve a supplier's payment status in the OA, he needs to check the customer's historical supply timeliness and supply quality in real time to determine the payment strategy.

At this time, most analysis tools require the user to run a new program, log in to the account to enter the analysis tool, and then find the corresponding supplier's supply information, and finally make analysis decisions. In this mode, users not only need to have multiple system accounts at the same time, but also execute multiple programs separately and operate between different programs. The entire analysis experience is very unfriendly.

At this time, embedded analysis is needed to provide solutions for customers with a better experience. The application program can embed data processing and analysis into the product, service or experience, so that the application program directly has the ability of data processing, processing, analysis, and visual display. All kinds of users need data analysis, and data analysis for ERP, OA, MES, CRM and other application software users is completely changing the traditional software business. In a survey conducted by IDC in 2021, 40% of respondents said that their product team plans to add data analysis technology.

Therefore, product managers or enterprise users of software products have generally realized the need for analytical capabilities in application software. However, the current problem is that when most BI products run independently, there is no good solution to the requirements embedded in your application. Any custom analysis capabilities added to the application software project are very useful. challenge.

In this case, the use of embedded BI analysis solutions will be the fastest and best way to achieve. Embedded analysis is a more sensible choice. It not only provides functional appearance and performance that fully meet your requirements, but ultimately Provide your users with better analysis functions than products built from scratch. At the same time, it will greatly reduce the difficulty of applications that increase the value and competitiveness of applications by adding analysis functions. Below, we analyze the specific benefits of using embedded analysis for everyone:

Provide a seamless experience

The embedded analysis platform is built for embedding.

The right solution for the application or product experience can provide almost unlimited customization capabilities. When evaluating purchase options, make sure they match the color scheme, fonts, and other UI features of the embedded target software. If you really want your users to be amazed by the increased analytical capabilities of your product, you need to find a suitable platform that allows you to use your analysis to achieve custom visual effects and functions. Just add some data points, and this platform allows your product to grow and evolve over time.

Powerful analysis function, low maintenance cost

The product is constantly iteratively upgraded, so the analytical capabilities also need to be updated simultaneously. Many product teams fail to take this into consideration when building analysis capabilities from the ground up. At this time, product managers and R&D need to consider the related issues in detail. Embedded analysis can not only provide powerful data analysis capabilities, but also deeply integrate with the main application. It can automatically complete the analysis function upgrade while the main product is upgraded. The unification of the installation package and the operating environment greatly reduces maintenance costs such as later deployment and upgrades.

Benefit from continuous innovation

Adding data and analysis capabilities to products, judging from the current domestic informatization development trend, in the context of digital transformation, there is a great market opportunity. When choosing embedded analysis and injecting them into the software company's products, services, or experience, the software company's products are different from other similar products, which is a new innovation and gains competitiveness. At the same time, using the long-term cooperative relationship with the analysis provider, and its technological precipitation in the field of data analysis, will continue to improve the data analysis capabilities of the application software. The development team focuses on the core product (everything except the details of the analysis) and ensures that the analysis is integrated into the application software. When embedded analysis tool providers will launch new features, software products can try to get the latest features and update new features to application software. This is a good win-win cooperation model.

Provide more competitive products and services

Choosing the right embedded analysis technology and product provider is king. Software companies can seamlessly match the look and feel of your products or services, providing better features faster and less maintenance. The next few years will continue to reap the rewards of innovation.