It is that time of year again–time for predictions! We start off the 2025 bonanza of forecasts, estimates, and prognostications with a topic that’s near and dear to our hearts here at BigDATAwire: data analytics. The world has seen all sorts of patterns for analytics: data lakes, data warehouses, in-memory analytics, and embedded analytics. But…
Business Intelligence (BI) solutions have been around for some time. Traditional BI tools were designed to be used by the IT team, business analysts, and data scientists and utilized sophisticated features that required specialized knowledge and skills possessed only by the technical and analytical community. In this environment, business users were consumers of content, and…
Business intelligence (BI) has historically been a platform for data and business analysts who build dashboards for executives to make decisions. But the generative AI (GenAI) explosion over the past 18 months has changed the game. People everywhere have tasted the power of ChatGPT and now want a natural language interface to every application. But…
As the business world eagerly embraces the potential of GenAI, many companies are discovering that there are still lots of challenges along the way. One of the key challenges is complexity. Companies are struggling to use decision-making tools because they are too complex. This is evident in the lack of growth in the adoption of…
Sigma Computing, a cloud-based analytics solutions provider, has raised $200 million in Series D funding to further advance its efforts in broadening BI use within organizations by enabling users to query and analyze data without writing code. The latest rounding of funding takes the vendor’s total funding to $581.3 million with a valuation estimated to…
The term “Data Quality” focuses primarily on the level of accuracy possessed by the data, but also includes other qualities such as accessibility and usefulness. Some data isn’t accurate at all, which, in turn, promotes bad decision-making. Some organizations promote fact-checking and Data Governance, and, as a consequence, make decisions that give them an advantage….
Businesses today are drowning in data. The sheer volume and complexity of information available have made it increasingly difficult for organizations to extract meaningful insights using traditional business intelligence (BI) tools and the expertise of specialized data scientists. This is where augmented analytics comes in. This game-changing technology combines the power of artificial intelligence (AI)…
MicroStrategy this week unveiled a new customizable AI bot called Auto that lets business users interact with MicroStrategy’s data analytics offerings through natural language. But investors in the publicly traded Virginia software company may be more interested in its recent investments in Bitcoin. The new Auto software is based on the MicroStrategy AI product suite…
In the realm of business intelligence (BI) and analytic platforms, artificial Intelligence (AI) has been a behind-the-scenes force for a while. However, the advent of GenAI has revolutionized the way organizations leverage data to derive insights and make informed decisions. This advancement brings its challenges, including stringent data management and compliance requirements. To help enterprises…
The work of data engineers is extremely technical. They are responsible for designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. A data engineer needs to have a solid understanding of commonly used scripting languages and is expected to support the steady evolution of improved Data Quality,…
