AWS creates “Glue” service for data analysis

Recently, Amazon Web Services (AWS) announced the creation of a new data analytics tool to lighten the burden on businesses when analyzing data in the cloud. This tool, referred to as “Glue,” is meant to clean up and organize data that comes into the cloud from various sources so that it can be analyzed by business intelligence software and data analytics experts. Let’s take a closer look at this service and how it can benefit you and your business.

Data analysis can be an extremely profitable arm of your business, if undertaken carefully. Much of what people consider to be data analysis for a business is actually just digital clerical work, which makes the process even more frustrating and time-consuming than it needs to be. At its core, AWS’s Glue is an app that automates this tedium, which is often referred to as ETL (extract-transform-load).

Third-party software already exists to help with this task, but the service from AWS is one of the first cloud-based alternatives to come to market. Glue is designed to work with businesses that have their own on-premises data centers and infrastructures in addition to working with AWS frameworks. In fact, if a business makes changes to on-premises data, Glue can be set up to trigger jobs and update the data in the cloud so users always have access to the most up-to-date information for use and analysis.

Essentially, AWS extracts various types of data from a wide array of sources and analyzes it, ultimately homogenizing the data to fit the business’s existing database. This eliminates a great deal of work because the extremely tedious task of importing data is often done by hand. Handing this burden over to AWS allows businesses to focus on the real analysis work; saving effort, time, and money in the process.

Every day, data becomes more and more integral to building a successful company. And with such a heavy burden placed on this facet of business, falling behind on the technology that makes it possible is an expensive mistake. If you’re hosting large amounts of data on-premises or in an AWS database, contact us today about how you can eliminate costly ETL processes.

Published with permission from TechAdvisory.org. Source.

Why you should consider self-service BI

Business intelligence (BI) tools offer valuable insights into an organization’s data and allow key decision makers to make faster and more informed strategic choices. But technology is evolving rapidly, and with it comes a new and more efficient BI practice – the self-service approach. Many organizations are now shifting towards this new form of BI, due to its advantages over the traditional system.

What is self-service business intelligence?

Self-service BI is a reporting and analytics platform that business users with limited IT knowledge and experience can use for themselves. Simply put, if an end user trying to find an answer to a business question can access, use, and generate reports without bothering the IT department or data analysts, then they’ve done self-service BI.

The end goal of self-service BI is to eliminate redundant processes where users have to request access and assistance from data analysts and technology experts. With self-service BI, users are able to gather information, analyze it, and share the reports with others, without having to know the technical protocols required to access the data.

Traditional vs. self-service

In traditional BI systems, analysts create reports based on input data, and deliver them to key decision makers. In the case where the decision makers need more detail or different data, or change their business questions, analysts have to adapt the report or create new ones.

Self-service BI is designed to eliminate this time-consuming reporting process, placing much of the responsibility for report creation on end users. It opens the door to data exploration and new possibilities. Instead of asking analysts to generate reports, end users have the ability and tools to find the answers to their own business questions whenever they want.

How self-service BI can benefit your business

Self-service BI helps improve organizations in various key areas. Here are just some of the benefits it has for your business.

  • It saves time – most likely there are far more people asking business questions than there are IT experts creating reports to answer them. By removing the dependency on data analysts and technical staff, companies are able to improve the efficiency of their analytical process and save time, as end users can find the answers to their questions themselves.
  • It eliminates mistakes – the more decisions users have to make, the less likely they are to make the right ones. Self-service BI helps ease the decision-making process by delivering nearly instant reports and visualizations that are easy to understand. Users can analyze their data from any angle and deduce answers without having to consult specialists.
  • It reduces costs – since end users are able to utilize self-service BI with little to no training, training and support costs are significantly lower than other BI solutions. What’s more, self-service BI platforms can be accessed from anywhere and at any time, without the need to install expensive hardware and servers, allowing businesses to save money.

There are plenty of benefits of adopting self-service BI. As more employees are able to analyze and explore data by themselves, decisions can be made much faster and at a far lower cost. Want to learn more about business intelligence and how you can implement it in your organization? Give us a call today.

Published with permission from TechAdvisory.org. Source.