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Today, we have the opportunity to improve and optimize virtually any process in any sector of our economy – based on data, on an unprecedented scale. Collecting, analyzing, identifying trends or correlations, warning, learning - these processes and tasks can be carried out at low cost compared to what was available over a decade ago.

Latest studies by the Business Analyses Center LeBow (Drexel University) and Precisely – lider of the Data Integrity market – shed some light on how the data management programs directly influence the data quality. Two third of the organisations subject to studies report the improvement of their data quality as the „main benefit”.

Next stage of Data Management is Data Cleansing. Depending on the process design, the data may be corrected in their sources, in dedicated database structures, in the files of in the reports.

After cataloguing the data sources, for each of them the key data should be defined. Key information will be determined by the function of their own environment. E.g., for MS Excel it will be the xls sheets; for the relations data bases – tables; for the www websites – html files, etc. The loss of the sources and the key data included there may also comprise the PDF files, and – as such – act as a mainstay for further works.

Data is the basis of business information that allows you to take the right action and achieve maximum benefits. Data management is a complex process of collecting, storing and using data in such a way that it is completely secure and helps in its optimal use. According to Precisely, Data Management is realised in six categories: 1) cataloguing and modelling, 2) data verification, 3) profiling, 4) cleansing, 5) mastering, 6) operationalizing. In today's post, we will discuss the first of them.

When we think about digital experience management from an IT perspective, we traditionally look at metrics derived from monitoring endpoints, systems or applications. In reality, digital experience management is becoming much more about knowing your people. While low-level telemetry might solve a user’s immediate problem, the bigger story around the human experience with technology is largely missing from typical IT metrics on speeds and feeds. As an industry, we need to think bigger about the human experience, and elevate our approach to digital experience management to focus more on the people we’re serving. Here’s how.

Working from home represents a highly flexible, yet complex and tricky new avenue for businesses to brave and employees to navigate. In this post, we’ll discuss how you can approach both working from home and managing remote employees more effectively.

We polled 12 experts and received 17 data management predictions for 2021.

The Riverbed Global User Conference theme “Maximizing Performance and Visibility for Any User, Network, App, Anywhere” couldn’t have been more timely given the impact the recent pandemic has had on organizations of every kind.

Would you quit your job if remote working was no longer supported after the pandemic?