The unmistakable need for datafication

datafication

Since the term big data started this big wave of everyone turning to data as a resource, many companies jumped on board. But it’s easy to utilize data when you can precisely point it out or quantify it. What happens with all the events that you previously couldn’t pinpoint? This is where datafication comes in.  […]

From continuous intelligence to composite AI – a mix for success

continuous intelligence

Leveraging business intelligence to make decisions has been the core of any company that somehow wants to utilize data. An approach to the ever-growing data volume has been to integrate BI systems into everyday operations. Which is perfectly fine and might work for some. The issues appear when data velocity becomes greater and data starts […]

Data veracity – why should you never forget about it

data veracity

Data, in itself, has many characteristics and challenges, especially in the world of big data. Those who utilize or collect data know about the hardships it brings. That’s why there are some widely known descriptions and parameters of data where certain characteristics are described for better management. One of the best examples are 5 V’s […]

Why should you focus on augmented data management

augmented data management

As time goes on and the volume of data rises, traditional data management processes aren’t enough. It gets more complicated and time-consuming to draw out valuable data, process it, and prepare it for other data-related tasks. But, with the development of AI, we see the possibilities of augmented data management.  Traditional approaches are falling somewhat […]

How to manage the pull of data gravity

data gravity

If you are an enterprise company or an entity that either generates or collects enormous amounts of data, then you must be familiar with the fact that the more data you have, the more you’ll add on. As soon as you recognize the value of data in your everyday operations, you will see that data […]

How to successfully build data and AI teams

data and ai teams

A lot of companies are becoming data-driven. Which is a fabulous thing since the world we live in is primarily revolving around data. Markets, businesses, and consumers, all drive decisions and actions based on information. But, purely recognizing the need for data is not enough. Becoming data-driven means either building your own data and AI […]

Data fabric and its tech details

data fabric

Welcome to the final post in the data fabric series. So far we introduced data fabric and talked about the business benefits it brings. Now it is time to look at technical questions that may come to mind as you explore the concept of the data fabric. Integration With Existing Data Systems Unless you are […]

When is data fabric great for your business?

data fabric

In a previous post, we had an introduction to the data fabric concept and architecture. Renato covered the topic perfectly and outlined the benefits and why should you embrace implementing it into your business. It might seem like a new buzzword, but in earnest, it shifts the trends in data analytics and data management. But, […]

Promoting data democratization and governance with data fabric

data fabric

Lately, our colleague Valentina Dugan created a great post explaining How to tackle data security and concerns. Some key terms she covers there are unauthorized access, compliance, data masking, and data democratization. I couldn’t have imagined a more perfect backdrop for data fabric, the topic I’ve been wanting to write about for the past few […]

How to tackle data security and concerns

data security

In these days of massive data amounts, AI, the development of online media, and such, data privacy and personal data have become an all-time concern. Alongside people that try to test the boundaries of data security and put such information at harm, even data systems and infrastructure can show weaknesses in their defenses.  But what […]