Data Silos

What are Data Silos?

Data silos are data storage and management systems that are segregated from one another and are inaccessible to other areas of the company. It occurs when data is kept in separate systems or databases that are unable to communicate or share information with one another. Data silos can cause inefficiencies, mistakes, and delays as well as prevent businesses from utilizing their data to obtain insights and make better decisions. As a result, data is frequently duplicated or inconsistently used by several departments or business units within a company.

Data silos can develop for a variety of reasons, including various software systems operated by various departments, disparate data standards, and ineffective teamwork. Its implications on a company can be rather detrimental. Breaking down data silos and establishing a uniform data environment may assist firms in developing a data-driven culture that values collaboration, transparency, and a comprehensive perspective of data.

What causes data silos?

Data silos can be caused by various factors, including:

  • Legacy systems:  The data gravity and high upgrade costs prohibit migration of current systems that run mission-critical applications. Some systems do not interact correctly, resulting in data silos.
  • Geographical boundaries: Data silos can be created when data is stored in several systems that are spread across various geographies and are processed using various protocols.
  • Mergers and acquisitions: When a company merges or acquires another, it may inherit diverse data systems that are difficult to integrate thus resulting in data silos.
  • Organizational structure: Complex organizational structures in large enterprises can result in the autonomous operation of several business units or subsidiaries, which creates data silos.

There are additional ways that data silos can be formed, one of which is through the deliberate construction of data silos to address data security and privacy problems. Silos can be purposely created by some firms to limit access to data and protect critical information. Just a limited number of people having access to the data might create silos and limit the usage of data insights. The ability of the organization to exchange data may be hampered as a result. Ineffective data governance is another possibility. Good data governance can eliminate data silos and establish uniform data practices and standards; in contrast, weak data governance can make it difficult for businesses to ensure data consistency and quality across several systems, leading to the development of data silos.

What problems do data silos cause?

Data silos can cause several problems for organizations, including:

  • Data silos can result in redundant data entry, which raises operational expenses and makes it challenging for teams working across organizational boundaries to share data.
  • Data silos prevent engineers and analysts from gaining a comprehensive perspective of the data, which produces dubious processing outcomes.
  • Data silos result in poor decision-making and the loss of opportunities.
  • Maintaining data silos can increase operational costs such as software licensing to manage and control systems and dedicated IT professionals to monitor and maintain them.  
  • When data is siloed, companies can struggle to adapt rapidly to changes in the market or customer demands, resulting in lower agility or a limited capacity to respond in real time to changes in consumer behavior or competition.
  • Breaking down data silos and creating a unified data environment can help organizations to overcome these challenges and improve their overall performance.

HPE and Data Silos

HPE provides several solutions to help organizations overcome data silos and create a unified data environment. These solutions include:

  • HPE Ezmeral Data Fabric:  By providing instant visibility and easy access to various data types across on-premises, co-location, clouds, HPE GreenLake, and edge locations, this solution assists enterprises in overcoming these difficulties.
  • The HPE Edge-to-Cloud Transformation Program: It is a solution aimed at breaking down data silos and enabling the seamless flow of data across an organization's edge, core, and cloud environments.
  • HPE Ezmeral Unified Analytics: Enables the consolidation of data silos by providing a unified environment for data ingestion, processing, and analytics.
  • HPE Ezmeral Container Platform: This platform allows organizations to run containerized applications on-premises or in the cloud. It provides a unified approach to application development and deployment, making it easier to manage data and applications across the organization.
  • HPE Ezmeral Unified Analytics: Helps customers develop and deploy applications and analytic workloads across hybrid environments with a secure, fully managed open-source SaaS solution and a curated stack of the most popular open-source tools with a cloud-like experience.
  • HPE Storage: HPE provides a range of storage solutions, including all-flash and hybrid storage arrays, that can help organizations to manage data silos more effectively. These solutions provide high performance, scalability, and resiliency, making it easier to store, manage, and protect data across the organization.