A DI platform that data integration scattered throughout the company

What is a DI platform that enables data integration across the company?

Sales data, customer data, and other data continue to grow every day. Many companies are considering migrating to the cloud due to the limitations of on-premise systems. However, the problem here is how to integrate with the current systems and tools that handle sales and customer management.

Additionally, an increasing number of companies are turning their attention to data management from the perspective of how they can strategically utilize the vast amounts of data within their companies. While they have introduced data analysis tools, they are also facing challenges, such as the time it takes to select and collect internal data, making it difficult to conduct sufficient data analysis.

What methods are there for efficiently managing the ever-increasing amount of data, including data integration with existing systems?

1. data integration issues that make data management difficult

It is said that data management holds the key to corporate growth in sales strategies that utilize IoT, big data, omnichannel, etc. However, when implementing data management in the field, there are several problems with efficiently collecting and utilizing internal data.

When it comes to data management, simply introducing a data analysis tool is not enough to solve everything. The most important point is how efficiently you can collect data on customers, products, inventory, and other items that are scattered throughout the company and serve as the basis for analysis and hypothesis verification. No matter how powerful a data analysis tool is, it will not be effective unless you have the data to back it up.

To collect data scattered throughout a company, it is first necessary to understand where and what kind of data is stored. However, the databases, groupware, applications, etc. in which this data is stored often differ depending on the department. Even if you are able to collect scattered data, accurate analysis will not be possible unless you can separate the data necessary for analysis from legacy data and data of low quality.

Without overcoming these barriers, effective data management cannot be achieved.

2. What is required of a data integration tool to achieve data integration (DI)

One of the effective means to solve data management issues is data integration DI (Data
Integration: data integration tool Data Integration).

DI, as the name suggests, is the integration of data held in various tools and data scattered throughout the company. The idea is to collect the complex, mixed data within a company, select and integrate the data needed for a specific purpose, and use it in business activities. Developing a system independently is a task that requires a huge amount of time and money, but data integration tool make this easy. When implementing a system, it is important to check whether it has the following features:

(1) A simple operation environment that eliminates dependency on individuals

We recommend data integration tool that can be used without requiring specialized programming knowledge. Specifically, it is best to use one that employs an intuitive GUI that allows the necessary conversion and processing to be performed by dragging and dropping icons. If anyone can perform the necessary data integration, they will be able to flexibly respond to the rapidly evolving business scene.

(2) Flexible connection with various devices

The data that may be needed is operated by a variety of systems within the company. The availability of as many adapters as possible to link various databases, groupware, data warehouses, applications, etc. is also a key factor in data integration tool selection.

(3) It can process large amounts of data at high speed.

To create an accurate sales strategy, it is essential to analyze data as quickly as possible. The longer the data is out of date, the more delayed the sales strategy will be. It goes without saying that it is important for data integration tool to be able to select the necessary data from large amounts of data and process it quickly.

3. Data integration (DI) and data integration tool are essential for improving business efficiency

Collecting and sorting data scattered throughout a company is a data management challenge. The key to solving this problem with as little effort and cost as possible is to effectively utilize data integration tool.

DI through data integration is not limited to existing systems. It is also essential for IoT, which connects a variety of things, such as smartphones, sensors, and manufacturing equipment, to the Internet.

By implementing DI using data integration tool that create an environment where internal resources can be fully utilized regardless of the environment or equipment, such as on-premise and cloud, or traditional systems and IoT, not only will business efficiency improve but corporate activities themselves will also be enhanced.

summary

Data management is key to corporate growth. By utilizing data integration tool that efficiently collect and select data, DI can be achieved, and we want to actively utilize the effective resource that is data that exists within the company.

Solve your data management challenges! data integration is easy to do.

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