Author: ZE - Page 2
Practical Machine Learning And The Data Behind It
Introduction
The popular new buzzword, Machine Learning (ML) is often confused with Artificial Intelligence (AI). However, they are two entirely separate entities. You probably have a good idea of what Artificial Intelligence is but how much do know about Machine Learning? Not a lot? Well, let us tell you everything about practical machine learning including what ...
5 Key Benefits Of Centralized Data Management
Introduction
Many companies struggle with the management of their information systems and related databases. A primary reason for this is a lack of centralization. Here is why centralized data management is important and what benefits can be derived from it.
With a centralized information system, users only need to go to one place to find the data ...
Importance Of Business Intelligence For Business Growth
Introduction
Business intelligence refers to technologies and applications used in an organization to obtain, integrate, analyze, preserve and present its data. This helps create insightful information based on the raw data collected by the company or any of its function. This analysis is conducted by Business Intelligence tools, which then present the information in the form ...
Get Ahead with the Right Data Management Plan!
Introduction
A DMP or a Data Management Plan is in the form of a formal document that highlights how data needs to be handled both during a research project and after its completion.
The goal of a Data Management Plan is to keep in perspective all the steps involved in data management i.e. data creation, data preservation ...
Enterprise Systems That Drive Your Company Forward and the Tool That Can Help Make It Happen
Introduction
One of the most important resources to operate and manage modern-day organizations is information technology (IT). From operations to customer service to security, IT affects every facet of a 21st-century enterprise. Today, IT-enabled technologies that integrate the functions of the business across the enterprise have become the backbone of organizations. These technologies are referred to ...
Importance of Cloud for Data Management
Intorduction
In today’s world, nearly all businesses are increasingly utilizing the benefits of IT. IT and its platforms are used to seamlessly collect, store, analyze and share data. This not only helps businesses run efficiently but also saves business owners a lot of hassle.
They can invest that extra effort in growing their businesses rather ...
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, ...
