Bring data and automation together with Axys Data Service. Give your automation program the data capabilities it needs to thrive. Different teams require different sets of data from specific sources to build their daily reports. Sales, marketing, and product reports are generated from their data sources. However, these reports can be generated mostly from their
Read More

A Chief Data Officer (CDO) manages and leverages an organization’s data assets. One important aspect of this role is to break down data silos, which refers to the isolation of data within different departments or systems. This includes ensuring the quality, accuracy, and security of data and ensuring that data is being used effectively to
Read More

Data silos are a common problem in organizations, where different departments or teams store and manage their own data independently, without sharing or integrating it with other parts of the organization. This can lead to a variety of issues, such as duplication of effort, lack of visibility into the organization’s overall data, and difficulty in
Read More

The Your business relies on a lot of data; some of it’s over here, and more of it’s over there. Managing this data to provide positive experiences for your customers and employees can be challenging for organizations. A data fabric is a concept in data management. It refers to a distributed infrastructure that allows data
Read More

Data fabric is a framework that enables organizations to manage and analyze data across a wide range of sources and platforms. Data fabric provides a cohesive view of an organization’s data. Also, can make it easier to access, integrate, and analyze data from multiple sources. It is a software architecture that allows data to be
Read More

The Business data is important for several reasons. It can help organizations make informed decisions, identify trends and patterns, and measure performance. It can also forecast future outcomes, optimize operations, and personalize customer experiences. By collecting and analyzing data, businesses can gain valuable insights that can help them improve their products, services, and overall operations.
Read More

Data tagging and auto-remediation are the two most powerful approaches to managing data risk. Tagging involves attaching metadata to data to provide context and help classify the data. This can include information such as the data’s owner, sensitivity level, and retention period. Tagging data can help organizations better understand and manage the risks associated with
Read More

Data Fabric is a term that refers to a system architecture that allows data to store, manage, and access across multiple locations and formats. It has been designing to support the integration and management of data from various sources, including on-premises systems, cloud-based systems, and edge devices. Here are a few potential data fabric trends
Read More

Small and medium-sized businesses (SMBs) often face unique challenges when managing data. Compared to larger enterprises, they may need more resources or infrastructure to effectively collect, store, and analyze data on a large scale. However, developing a solid data strategy can be crucial for the success and growth of an SMB.     Business Data Strategies for
Read More

TheAxys No-Code Data Integration “Data Data Everywhere” Organizations have a lot of data, but it could be more consumable, which causes many hurdles for a business to succeed because data is an asset for a business. It should be well-defined and easily accessible for employees to execute further processes. When an organization has plenty of
Read More

What is Data Silo? A data silo is a situation in which an organization has multiple databases or systems that cannot easily share information with each other, creating isolated “silos” of data. This can occur due to technical, organizational, or cultural barriers, making it difficult or impossible for the organization to use or analyze all
Read More