Before any fruit and vegetables are sold in supermarkets, they are first harvested from various farms and orchards. Then, they are sorted into their respective categories, cleaned to remove any bacteria and soil, and packaged uniformly during the preparation stage. Finally, depending on store orders, they are sent out to various locations. In the data analytics world, raw data goes through a similar process before it can be analyzed and reported on — and this is where ETL comes in.  There...

In the food industry, quality control ensures that the meat, bread, and other edible items reaching you are of the best quality. Companies use various ways to manage this, from developing fixed product formulations to standardizing manufacturing processes. By following these procedures, the quality of food is kept consistent and reliable for the consumers. In the same way, companies also need to manage and control the quality of their data. This has become increasingly important due to the...

ETL is defined as a method or process of extracting, transforming, and loading raw data from various sources into a single and centralized location. These can be data warehouses or other centralized data storage systems. In the data analytics world, raw data goes through a similar process before it can be analyzed and reported — and this is where ETL comes in. So, let’s take a look at what ETL means. Check out the video to learn more about the ETL process: https://youtu.be/CyVvglLMLew For...

What do you do when you outgrow your reporting system? Meet Farmer X. They’re a manufacturer and distributor of organic foods. However, over the last decade, Farmer X experienced a huge sales growth — this was not so great for their reporting system, which was all completed on cloud-based spreadsheet applications. With the Cubeware Cockpit, Farmer X was able to complete analyses and generate reports — both planned and ad-hoc — with swift accuracy, detail, flexibility, and...

What do people mean when they refer to Dark Data? And how is Dark Data different from regular data?  Almost everything we do involves data —we’re either generating it or receiving it, whether we’re aware of it or not. And this adds up to, well, a lot of data — and to no one’s surprise, a lot of it is left unused.  In short, Dark Data refers to the data that we often collect but do not use, especially for Business Intelligence purposes.  Often times, Dark Data is what leads to businesses...

In our two previous videos, we discussed what Prescriptive Analytics is, how it works, and what its examples look like. To check them out,   [What is Prescriptive Analytics?: Part 1] https://youtu.be/pzvT6Z_b6MA [Examples of Prescriptive Analytics: Part 2] https://youtu.be/NOo8Nc9zG20  Despite being a pivotal advanced analytical approach, Prescriptive Analytics isn’t commonly implemented as it requires an assortment of tools and a complex understanding of the method. Companies that do...

Prescriptive Analytics is a type of data analytics that recommends a course of action users should take in order to achieve a desired outcome or goal. It comes after the stages of descriptive and predictive analytics.  For more info on data analytics, visit our website at www.cubeware.com What is Prescriptive Analytics? [PART 1] What Are Examples of Prescriptive Analytics? [PART 2] Join Our Social Networks: YouTube: https://www.youtube.com/Cubeware LinkedIn:...

Prescriptive Analytics is a type of data analytics that recommends a course of action users should take in order to achieve a desired outcome or goal. It comes after the stages of descriptive and predictive analytics. For more info on data analytics, visit our website at www.cubeware.com Join Our Social Networks: YouTube: https://www.youtube.com/Cubeware LinkedIn: https://www.linkedin.com/company/cubeware-gmbh Facebook: https://www.facebook.com/cubeware.gmbh  Twitter:...

You share a lot of data with a lot of companies — these collected datasets need to be stored securely to prevent any cases of stolen, misused, deleted, or altered data.    Many businesses today have migrated to the digital landscape, rendering it especially critical that they implement measures that protect their digital assets. After all, companies used to protect their physical assets, so now it's time they learn to do the same with their digital ones.   In this podcast, we’ll cover what...

During the 2012 Brazilian Grand Prix, Sebastian Vettel was in the running to win the World Championship for the 3rd time. However, during this decisive race, Vettel’s car was hit from the back early on. If this were any other sport, the competition would have been over. However, Vettel’s analysts and engineers swooped in the moment the impact occurred. Teams of analysts spanning across continents work together in real-time on data analytics to churn out insights and solutions. So, let’s...

When we think of mining, it sounds manual, tedious, and unfruitful — after all, hacking away at rock walls for hours on end hoping to find gold sounds like a lot of work for a very small reward.    Data Mining, however, is quite the opposite — without doing much work at all, you can reap rewarding results. That’s because we have modern solutions which do it for us.  These softwares can sift through terabytes of data within minutes, giving us valuable insights on patterns, journeys, and...

Master Data Management, also called MDM, is a technology-enabled discipline describing how businesses utilize IT tools and solutions to govern, manage, use, and share their data. As businesses scale and grow in size, the number of applications and systems used across the board will also grow. These additional databases cause a fracture in information as they create multiple versions of the same data, and there’s no way of pinpointing which version is outdated, incorrect, or incomplete. To...

Data Management is a set of practices that organize, refine, and store your data. These practices are broken down into 7 key types. Their collective goal is to produce data that is accurate, consistent, accessible, usable, and secured, rendering it conducive for data analytics and reporting down the line. For more info on data analytics, business intelligence and to learn how can it benefit your business, visit our website at www.cubeware.com Join Our Social Networks: YouTube:...

Deep Learning has substantially impacted the way technology is leveraged across various sectors and industries.   Chatbots have become integral to more and more service industries every day. Deep Neural Networks have rendered this possible, allowing Deep Learning to decipher, understand, and address the intent of the customer on the other end. For more info on data analytics, business intelligence and to learn how can it benefit your business, visit our website at www.cubeware.com Join Our...

AI technologies have gone as far as giving computers the ability to observe data, recognize patterns, predict future outcomes, and take action. Deep Learning is one of the key derivatives of AI – and with its smart-computing and self-learning abilities, it’s paving the way for the next digital revolution across a myriad of industries.  So, what exactly is Deep Learning? Deep Learning is a complex form of Artificial Intelligence that enables machines to process data and learn logical...

Machine Learning in itself is very complex and can be broken down differently depending on its variations. Generally, it is divided into categories according to their purpose. These are: · Supervised Learning · Unsupervised Learning · Reinforcement Learning For more info on data analytics, business intelligence and to learn how can it benefit your business, visit our website at www.cubeware.com Join Our Social Networks: YouTube: https://www.youtube.com/Cubeware LinkedIn:...

Machine Learning is a branch of Artificial Intelligence that teaches computers to complete tasks that previously could have only been done by a human being. To give you a rough idea, take a look at self-driving cars, real-time speech translation, and traffic forecasting – these are all applications of artificial intelligence and its capabilities.   Firstly, it’s important to understand that Machine Learning is a core sub-area of Artificial Intelligence – it is a method of data analysis that...

Struggling To Become A Data-Driven Organisation? 20-40% of all health sector resources are wasted. GE estimated that a 1% efficiency gain could lead to more than $63 billion in global health care savings. With hospitals facing unprecedented cost pressures, tracking and optimising patient flow, treatment, and equipment use is becoming increasingly difficult. How could hospitals overcome their primary challenge of efficiently treating as many patients as they can while simultaneously...

Late one evening you are conversing with a friend or a partner about the latest gadget, a holiday destination or the latest TV series that you’ve been meaning to binge-watch. Your smart devices are probably on the table or tucked away somewhere in your bag or pocket. The next day, you open your smartphone and it is filled with ads that are related to the topics you were conversing last night. How is this possible? Is your phone really listening to you? The simple answer is no! Your phone is...

As a data solutions platform, Cubeware’s digital warehousing ecosystem let’s you view and interpret data, leading to valuable insights that can transform your business.   A Cubeware solution gives you instant access to all of your valuable data in a safe and secure ecosystem, with complete visibility of your information. The powerful insights gained allow for informed, calculated decision making, and can be used to transform your business.   For more info on Digital Warehousing,  visit:...

Adapting to the drastic economic change, more and more companies are seeing the value of data-driven business strategies, and this has opened up an abundance of job opportunities especially in the area of data intelligence.    With the aid of analytical tools, the person who accumulates, processes, and performs analysis of data is referred to as a Data Analyst.   He or she is required to present data in a simple visual format, in order to help organizations and companies understand how to...

Convert raw data into profitable business decisions.  Your business most certainly has a mine of under-utilized data. Now imagine having all that data organized and archived in a simple presentable format, couple that with smart computing and you have everything you need to make calculated and informed business decisions. There are four types of data analytics systems that being used in business. 1. Descriptive Analysis, Diagnostic Analysis, Predictive Analysis and Prescriptive Analysis....

Data driven decision making requires a thorough view of all aspects of your business. The data functions as a set of eyes for decision making executives as it provides them with both an overview of the market and details about the business. Therefore, any errors in information could cause knock on effects that severely impact the business, leading to bad decision making and misguided strategy. HARNESS THE POWER OF DATA. Outsmart your competition and sharpen your edge with actionable data...

As we struggle to deal with the COVID-19 crisis, governments around the world are forced to adopt new technologies and systems in order to protect their populations. Artificial Intelligence has proved highly effective in aiding governments as diverse as South Korea and Germany. In this video we highlight how AI and machine learning are being used to fight the virus.   For more info on how Advanced Data Analytics Tool help businesses around the world, visit: https://cubeware.com/   Join Our...