One of the biggest pitfalls companies can run into when establishing or expanding a data science and analytics program is the tendency to purchase the coolest, fastest tools for managing data analytics processes and workflows, without fully considering how the organization will use these tools. The problem is that companies can spend much more money […]
Exploring Data Visualization in Three Steps
Data analytics has accompanied me for 15 years already. I started my career as a data analyst in a controlling department immediately following my graduation from the University of West Bohemia; I now work as a data scientist providing consultancy services for a range of different fields. The data analysis itself is the fun part. […]
The Metaverse Needs to Prioritize AI
As companies begin to enter the metaverse and shape their activity in the future of the internet, we must look at the fundamental ways by which we’ll connect and interact with each other in this new space. In order to create the connected world that the metaverse is working towards, language and AI-powered translation systems must […]
Self-Serve Advanced Analytics Requires Culture Change
Small and medium-sized businesses (SMBs) are often challenged to satisfy all the roles and responsibilities in the organization, and most team members wear more than one hat. That feeling of being overstretched is typical of growing businesses and, in an increasingly competitive market with businesses fighting for skilled resources, it is difficult to meet budget […]
Why Automated Data Extraction Matters in the Digital Age
In today’s fast-paced business world, one of the best ways for a modern enterprise to optimize processes is to rethink how to manage data. Business documents contain vital information for companies, irrespective of their size and industry. As most of these business documents contain unstructured data, automated data extraction has become a go-to option for […]
Solving Three Data Problems with Data Observability
Data collection, while crucial to the overall functionality and health of a business, does not automatically lead to success. If data processes are not at peak performance and efficiency, businesses are just collecting massive stores of data for no reason. Data without insight is useless, and the energy spent collecting it, is wasted. Effective use […]
Optimizing the Cost of Azure Storage
Microsoft Azure Storage is a cloud-based storage service that provides organizations with a variety of storage solutions. Azure Storage provides: Cloud-based file sharing Message storage NoSQL storage Virtual machine disk storage Highly scalable object storage All storage products offered through Azure Storage are designed for high availability and redundancy. The underlying hardware that supports Azure Storage provides redundancy in […]
16 Internal Data Management Best Practices
In today’s digital world, data is undoubtedly a valuable resource that has the power to transform businesses and industries. As the saying goes, “data is the new oil.” However, in order for data to be truly useful, it needs to be managed effectively. This is where the following 16 internal Data Management best practices come […]
What Can Artificial Intelligence Do for Me?
Douglas Adams once said, “We are stuck with technology when what we really want is just stuff that works.” It’s true. We can throw around all kinds of new terms and technologies, but people just want solutions they can rely on. However, for data guys like me, we like to know that it works, but […]
Data Warehouses Are Failing SaaS Apps: Why HTAP Databases Provide a Better Fit
As remote work continues to boom, enterprises are seeing increasing demand for SaaS products. SaaS apps are data-intensive, generating and accessing massive volumes of data in real time. Because of that, most organizations build SaaS apps on data warehouses instead of HTAP databases. For one, since SaaS apps operate on larger volumes of data, data warehouses […]