Big data, data management, data analytics and ERP: what are we talking about?

In the era of the digital revolution, understanding certain concepts allows us to better understand the inevitable process of digital transformation. Here’s an overview of big data, data management, data analytics and ERP. These notions are often at the heart of a high-stakes IT project within a company.

Big data, an ever-growing amount of data

Big data refers to a very large volume of data that no conventional database or information management tool can fully exploit.

Processing this mass of digital data raises a number of issues:

• a considerable amount of data to manage,
• different data sources,
• enhanced processing performance,
• efficient management of reference data.

Innovative tools for real-time processing of big data are :

• storage systems, such as cloud computing,
• technologies for unstructured data,
• powerful BI (Business Intelligence) & Analytics solutions.

Data management, the development of digital resources

Data management is a management discipline that aims to manage digital resources to extract value from them. It’s a vision of information system management built around the nature of the data, and not around a system and its interactions.

This data management allows for the development of architectures, regulations, practices and procedures that properly manage the needs of organizations across the entire data life cycle.

With data management, companies rediscover the strategic importance of data

• The Internet of Things (IoT) enables the massive collection of information that has great potential if processed and analyzed,
• artificial intelligence is developing thanks to big data,
• Machine learning, which makes predictions using statistics and data mining, becomes more efficient when it is based on large volumes of information.

Data analytics, data for decision making

Enterprise Resource Planning (ERP) is an IT system capable of managing and monitoring all the information linked to a company’s main operational processes, such as order management, invoicing, accounting management, sales management and resource planning.

ERP is an IT solution whose deployment offers several advantages

• centralized data storage in a single tool,
• increased traceability of information and actions,
• increased data reliability and quality,
• improving productivity,
• simplified company management thanks to a global vision and reliable information.

The massive flow of data, the big data, is valued thanks to data management and data analytics. To help companies use their data efficiently, ERP systems centralize information and ensure its reliability and traceability.

Also in our "ERP Finance" section

• ERP software definition: what is an ERP?
• What is the use of an ERP solution for the finance function?
• ERP finance: what do you need to know as a finance manager?
• CFO: what are the advantages of an ERP for the finance function?
• Finance software: which ERP to choose for your company?
• The challenges of a post modern ERP
• Optimize the management of administrative processes with an ERP solution
• Big data, data management, data analytics and ERP: what are we talking about?
• ERP finance: how to ensure data security?
• CFO and CIO: how to implement a successful finance ERP project?
• ERP finance project: who should be involved in the company?
• The different implementation phases of an ERP project