Author: ZE - Page 2
5 Reasons Why Master Data Management Is Critical
Introduction
Failure to manage information accurately can lead to several disasters. The key to achieving effective information governance is master data management (MDM). Here is why MDM is critical.
In 2012, Gartner—the American research and advisory firm, identified master data management (MDM) as critical to achieving effective information governance. Without it, a potential disaster is on the ...
How Important Is Data Aggregation?
Introduction
Today, business decisions are based on vast amounts of data, making quick access to data crucial for making the right decisions at the right time. The advent of big data and the explosion of data sources provide organizations and data scientists with a wealth of information. However, extracting meaningful data is still a problem, which ...
The Role of Database Management System in Information Systems
Introduction
An organized collection of data, databases need to be managed accordingly. A database management system (DBMS) can help do that. So, what is a DBMS and what is its role in information systems? Let’s find out.
Typically organized to represent relevant aspects of reality, data stored in a database supports processes requiring this information. However, this ...
The Importance of Data Validation and How to Perform It
Introduction
Want to enable first-class analytics? Then ensure quality data or data which is clean, relevant and useful. How do you do that? To ensure that your data is clean, relevant and useful, you need to perform data validation. Performing data validation before running any data analysis can help you get better results. Often, ...
Looking for An Enterprise Data Management Solution?
Introduction
For businesses, data is essential—it is required to drive operations and maintain bottom lines. But, using poor quality data to make business decisions is counterproductive. Not only does this affect the achievement of organizational goals, it also has an impact on short-term revenue and long-term business health. Think about your own organization:
Do you know ...
Data Management: Challenges, Risks And Possible Solutions For An Organization
“Without big data analytics, companies are blind and deaf, wandering onto the web like a deer on a freeway” - Geoffrey Moore
Introduction
Data management is something that sets a firm apart from the competition. A collaboration of effectively analyzed data and a well-groomed instinct are characteristics that allow executives to perform exceptional decision-making when it comes ...
Data as A Service and When to Use It
Introduction
Today, many businesses are using Data as a Service (DaaS) throughout their enterprise. But, people in the same organizations find it hard to understand what DaaS is and the benefits it can potentially provide. This is the reason we have taken upon ourselves to answer the what, the how, and the why of DaaS.
What ...
Data Management: 4 Reasons Why Enterprise Applications Are Useless Without It
“Most of the world will make decisions by either guessing or using their gut. They will either be lucky or wrong” - Suhail Doshi
Introduction
Data management is an integral part of strategic decision-making of any growing or established business. Organizations that forego proper procedures to accumulate and automate data are usually at the receiving end of ...
Do You Know The Types of Internal Risks Your Business Is Facing Today?
Introduction
Today, businesses are oblivious to many risks facing them, but with some critical thought and foresight, they can become aware of these potential dangers. With the right tools and knowledge, you can shed light on the potential risks faced by your business, and manage them effectively. But, what are the major risks—internal risks to be ...
Good Data and Business Intelligence Tools Are a Great Combination
Introduction
It is universal knowledge that information is power. However, most business today have more data than they can handle. The challenge for businesses is obvious—they need to find ways to manage this data overload to gain actionable insights and improve decision making. One such way is combining good data with business intelligence tools.
Collecting the ...
