Post by romanamitaseo22 on May 18, 2024 23:37:26 GMT -5
Unstructured data is information that does not have a pre-defined structure. It’s one of the three core types of data, along with structured and semi-structured formats. Examples of unstructured data include call logs, chat transcripts, contracts, and sensor data, as these datasets are not arranged according to a preset data model. Unstructured data must be standardized and structured into columns and rows to make it machine-readable, i.e., ready for analysis and interpretation. This makes managing unstructured data difficult. types of data Unstructured data is of growing importance, considering more than 80% of business data is available in an unstructured format. If that wasn’t enough, unstructured data is projected to grow rapidly in 2023, and beyond. Plus, it’s not just about the volume; unstructured data sources contain valuable insights. Purchase invoices, for example, can help a telecom provider segment its customers based on their demographic and economic details. This is just one example; unstructured data can be used in numerous ways to unravel patterns and trends for improved decision-making.
Despite its importance, many enterprises face challenges accessing and using unstructured data. Some of these challenges are: Inability to process growing data volumes Accessing siloed data Regulatory non-compliance Reduced data usability Increased vulnerability to cyber-attacks Let’s discuss these challenges in more detail and how enterprises can overcome them. Overcoming Unstructured Data Antigua and Barbuda Email List Challenges Challenge # 1: Inability to Process Growing Data Volumes Businesses are collecting ever-growing amounts of information nowadays. The volume of global data is projected to rise to 175 Zettabytes by 2025. This presents the challenge of accurately capturing this data in a timely manner. Enterprises need to capture and store unstructured data to extract valuable insights. But without proper storage planning and solution, this increasing data volumes put pressure on existing storage capacity. Of course, traditional, on-premises storage solutions cannot handle petabyte-scale data. Enter cloud-based storage. Migrating data to the cloud is part of a flexible and scalable approach to data storage.
Online data warehouses offer many benefits, such as connectivity to multiple unstructured data sources, faster analysis, and smoother disaster recovery. A robust data integration tool simplifies connecting to cloud storage. Astera Centerprise streamlines data migration to the cloud while preserving data quality in a no-code environment. Furthermore, its automation capabilities allow business users to capture and transfer unstructured data in real time. Challenge # 2: Accessing Siloed Data In today’s digitized work environment, employees demand greater transparency from their employers. Privacy acts such as CPRA and GDPR have emphasized safeguarding employee information and improving employees’ access to their data. Moreover, employee requests to access their personal details are increasing. The challenge is to provide seamless access to sensitive information stored in data siloes across multiple destinations, such as chats, emails, and audio logs. The first step toward solving this challenge is discovering sources of employee information. The next step is combining disparate information stored across multiple systems and building a single repository.
Despite its importance, many enterprises face challenges accessing and using unstructured data. Some of these challenges are: Inability to process growing data volumes Accessing siloed data Regulatory non-compliance Reduced data usability Increased vulnerability to cyber-attacks Let’s discuss these challenges in more detail and how enterprises can overcome them. Overcoming Unstructured Data Antigua and Barbuda Email List Challenges Challenge # 1: Inability to Process Growing Data Volumes Businesses are collecting ever-growing amounts of information nowadays. The volume of global data is projected to rise to 175 Zettabytes by 2025. This presents the challenge of accurately capturing this data in a timely manner. Enterprises need to capture and store unstructured data to extract valuable insights. But without proper storage planning and solution, this increasing data volumes put pressure on existing storage capacity. Of course, traditional, on-premises storage solutions cannot handle petabyte-scale data. Enter cloud-based storage. Migrating data to the cloud is part of a flexible and scalable approach to data storage.
Online data warehouses offer many benefits, such as connectivity to multiple unstructured data sources, faster analysis, and smoother disaster recovery. A robust data integration tool simplifies connecting to cloud storage. Astera Centerprise streamlines data migration to the cloud while preserving data quality in a no-code environment. Furthermore, its automation capabilities allow business users to capture and transfer unstructured data in real time. Challenge # 2: Accessing Siloed Data In today’s digitized work environment, employees demand greater transparency from their employers. Privacy acts such as CPRA and GDPR have emphasized safeguarding employee information and improving employees’ access to their data. Moreover, employee requests to access their personal details are increasing. The challenge is to provide seamless access to sensitive information stored in data siloes across multiple destinations, such as chats, emails, and audio logs. The first step toward solving this challenge is discovering sources of employee information. The next step is combining disparate information stored across multiple systems and building a single repository.