Employees are leaving their jobs in record numbers – both voluntarily and involuntarily. The amount of employee turnover that occurs each year varies depending on the industry and country. However, layoffs have seemingly become a common occurrence in the business world, with the tech industry being hit particularly hard of late. Layoffs.fyi, a website that […]
4 Common Data Integration Challenges
The ability to integrate data successfully into a single platform can be a challenge. Well-integrated data makes it easy for the appropriate staff to access and work with it. Poorly integrated data creates problems. Data integration can be described as the process of collecting data from a variety of sources and transforming it into a format compatible […]
Structured vs. Unstructured Data: An Overview
Structured data and unstructured data are both forms of data, but the first uses a single standardized format for storage, and the second does not. Structured data must be appropriately formatted (or reformatted) to provide a standardized data format before being stored, which is not a necessary step when storing unstructured data. The relational database […]
The Key to Unstructured Data Management: Communicating About Your Data
Sharing information about what’s happening with the unstructured data in your organization is much more difficult than it might appear. Miscommunication can negatively impact virtually every aspect of your organization, from your IT, storage teams, and app developers – all the way to the business and other end users. However, it is critical to have […]
Is Data the Achilles Heel of AI?
As Benjamin Franklin once said, “Nothing is certain except death and taxes.” Add this 21st-century irrefutable fact: The world can’t live without data. With its numbers, characters, facts, and statistics – the operations performed, stored, and analyzed – data has become an irreplaceable facet of daily life. We use data to identify strengths and weaknesses. It helps […]
How to Work with Unstructured Data in Python
All our online actions generate data. Even if we don’t write posts, comment, or upload other content, we leave our traces by being silent observers. This leads to predictable results – according to Statista, the amount of data generated globally is expected to surpass 180 zettabytes in 2025. On the one hand, having many resources to make […]
Why Leveraging Unstructured Data and AI Will Be Key to Customer Success in 2023
Analysts like IDC and Deloitte estimate that up to 80% of the world’s data is unstructured text data, which makes getting valuable insights out of this type of data a huge challenge. Worse, customers can’t easily find the right answers to address their product and service-related questions that are hidden in large amounts of support documents. As a result, employees […]
Unstructured Data Management Predictions for 2023
The global economic outlook for 2023 is tepid at best; inflation is waning but threats of recession still loom heavy in many countries. IT leaders will place their bets on strategic cloud and analytics investments – two areas where there is ample proof of cutting costs and delivering insights that can create new value from […]
NoSQL Databases: Advantages and Disadvantages
NoSQL databases (aka non-relational databases) come with both advantages and disadvantages. On the plus side, they are more scalable than traditional relational databases and can store a variety of formats. Additionally, they are easy to use, and their flexibility can speed up development, especially in a cloud computing environment. NoSQL databases were developed as a […]
Data Classification Can Make or Break Data Governance
The cost of data loss is staggering – and avoidable. The news these days is full of massive fines levied against companies that failed to protect their customer data. An effective data classification approach is one of the best ways to ensure that companies can identify and protect their most valuable data. Our experience continues to […]