Articles

Textual information is all around us.

Understanding the contents of your data, being able to visualize it, and eventually analyze is easier said than done.

Hybrid environments with clouds and on-premise systems make information technology (IT) delivery challenging.Organizations with multiple lines of businesses (LOBs) use multiple disparate software-as-a-service (SaaS) applications on top of existing legacy systems. These new applications become part of the IT ecosystem with little involvement from the internal IT team. As a result, businesses suffer from security issues and a lack of data intelligence. The way forward for these enterprises with a hybrid SaaS and on-premise applications lies in simplifying application integration. Businesses must adopt an integration platform as a service (iPaaS) software to aggregate, integrate, and manage cloud and non-cloud services reliably. iPaaS systems enable organizations to unify applications, integrate cloud data, manage application programming interfaces (APIs), automate workflows, and visualize business intelligence.

At first glance, it might seem as if data and empathy have nothing in common. 

Data analysis is broad, exploratory, and downright complex.

Marketers never have only one task to focus on at a given time.

Every transaction that we make creates data. From swiping your card while going grocery shopping, to closing a billion-dollar merger, each transaction creates several data points across the digital ecosystem. Although this is unstructured data, it's how we use these billions of data points to create and derive information that forms the underlying structure of data management and data science. Data value needs to be delivered to businesses as soon as possible, and converting this value into actionable insights is critical.

The data warehouse software market is booming. According to a report by Yellowbrick, it is estimated that the size of this market will be over $30 billion by 2025.

Human resource departments strive to be data-driven.

The world of big data is expected to reach an astonishing 163 zettabytes, or 163 trillion gigabytes, by 2025. Curious about how large one zettabyte is? It could store roughly 2 billion years' worth of music.