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All Blog Posts Tagged 'Analytics' (316)

Reshaping Healthcare with Data Analytics & Business Intelligence

Big data analytics in the healthcare industry today is evolving into a promising field for delivering real-time insights from very large data sets. Plus, it also helps improve outcomes while reducing costs.

The trending digitization is leveraging the potential of data analytics and business intelligence.

According to Industry experts, the AI health market is to…

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Added by Tanya Kumari on August 24, 2020 at 2:15am — No Comments

Food Delivery Time: Tips to Leverage Big Data Analytics for Better Results

The online food delivery business has taken off in the past few years — that much everyone knows. But do you know why this industry has noticed such rapid growth in demand and popularity? It is because of the utter convenience they deliver. Today’s customers come with high expectations, and this industry seems to have checked all the boxes one needs to; well, save for one. Delivery time — this continues to remain a sore spot for most customers who engage with online food delivery businesses.…

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Added by Ryan Williamson on June 19, 2020 at 1:13am — No Comments

Business Analytics VS Data Science



We will talk about two chief technologies that deal with data namely Business Analytics and Data Science. The latter is specific to customer choice, geographical influences concerning the business, and the former deals with business issues that relate to profit, cost, etc. …

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Added by Akshay.S on May 5, 2020 at 3:00am — 2 Comments

What are Data Lakes ?

Some of you are highly organized, disciplined, and keep all your belongings arranged in an ordered manner. You can easily remember the location of all these items and will be able to fetch them in a short time. But there are people who are highly unorganized and keeps all their belongings in a random manner and will have no clue on where to look for an item when they really need it. This results in a search operation on all storage spaces in the house when they want to fetch an item. There is… Continue

Added by Janardhanan PS on March 2, 2020 at 9:37pm — No Comments

Upskilling: What Is A Learning Sprint?

Why do we need Learning Sprints?

Virtually every company is under pressure to transform their business in order to sustain in the future. As part of these efforts, they are hiring data scientists and engineers, data analysts, and they are making huge investments into cloud, big data technologies and AI, amongst others. Virtually all employees need to unlearn what they have assumed to be true for decades, and they have to acquire new skills. Time and money are the big…

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Added by Rafael Knuth on February 10, 2020 at 10:00am — No Comments

What can learning analytics do for accessibility and for disabled students' support?

Introduction

I was formally (1998-2016) a Senior Research Fellow in the Institute of Educational Technology (IET) at the Open University (OU) in the UK.  It was in that context that I first started thinking about the potential of Learning Analytics in my field which is Accessibility of eLearning and Disabled Student Support.  Looking back through my work-related blog (…

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Added by Martyn Cooper on November 24, 2019 at 4:30pm — No Comments

Design Principles for Big Data Performance

The evolution of the technologies in Big Data in the last 20 years has presented a history of battles with growing data volume. The challenge of big data has not been solved yet, and the effort will certainly continue, with the data volume continuing to grow in the coming years. The original relational database system (RDBMS) and the associated OLTP  (Online Transaction Processing) make it so easy to work with data using SQL in all aspects, as long as the data size is small enough to…
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Added by Stephanie Shen on September 29, 2019 at 4:00pm — 1 Comment

How Do I Prove The Value Of Self-Serve Augmented Data Discovery?

How does one measure the effectiveness of a new Augmented Data Discovery solution? Once the business has chosen data democratization and implemented a self-serve analytics solution, it must measure ROI & TCO and establish metrics that will compare business results achieved before and after the implementation.

Without measurable results, it…

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Added by Kartik Patel on July 31, 2019 at 4:20am — No Comments

7 Steps to Ensure and Sustain Data Quality

Several years ago,  I met a senior director from a large company.  He mentioned the company he worked for was facing data quality issues that eroded customer satisfaction, and he had spent months investigating the potential causes and how to fix them. “What have you found?” I asked eagerly.  “It is a tough issue.  I did not find a single cause, on the contrary, many things went wrong,” he replied.  He then started citing a long list of what contributed to the data quality issues - almost…
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Added by Stephanie Shen on July 28, 2019 at 3:30pm — No Comments

What is Natural Language Processing & How Does it Benefit a Business? (Part 3 of 3 articles)

Whether we know it or not, we use Natural Language Processing every day. It makes it easier for us to interact with computers and software and allows us to perform complex searches and tasks without the help of a programmer, developer or analyst.

In this, the last article in our three-article series we discuss Natural Language Processing and…

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Added by Kartik Patel on June 24, 2019 at 8:30pm — No Comments

Successful Augmented Analytics Initiatives Do Not End with Implementation!

The successful implementation of an augmented analytics solution for business users is not just about choosing a cost-effective tool and completing a timely deployment, nor does the process stop with training. In order to get business users to embrace and adopt self-serve augmented data discovery tools, the enterprise must approach the implementation with appropriate change management processes.

If you want a business user or a team to align with the Citizen Data…

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Added by Kartik Patel on May 21, 2019 at 1:30am — No Comments

3 Types of Machine Learning in AI

When we look at broadly different kinds of Machine Learning that are used in practice in Artificial Intelligence

Historically, there have been several approaches in Machine learning for AI like supervised learning, unsupervised learning, reinforcement learning, case-based reasoning, inductive logic programming, experience based generalisation etc. there have been several examples of waves of machine learning for different AI problems. But, of them the 3 most important categories of…

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Added by Mahesh Kumar CV on May 5, 2019 at 1:00am — No Comments

Artificial Intelligence Continues Where Analytics Ends?

AI is a new buzzword but there has been a lot of talk around analytics and prospects over a decade. Here we present a perspective that AI is a continuum of Analytics

Let us see how...

Different approaches in Data Science and analytics have been originated in the field of statistics.

AI has emerged on the other hand out of computer science as a practice and science of studying "intelligent agents". 

The way is to treat AI as extending conventional analytics with a…

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Added by Mahesh Kumar CV on May 4, 2019 at 9:28am — No Comments

What is Augmented Analytics and Can it Add Value to Business Intelligence?

The Merriam-Webster dictionary defines the word 'augment' this way: 'to make greater, more numerous, larger or more intense'. If you are wondering how this applies to the term 'augmented analytics', you are not alone. Let's take a closer look at Augmented Analytics and talk about why it has gotten so much attention in the business intelligence world.

What is Augmented…

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Added by Kartik Patel on April 24, 2019 at 3:00am — 1 Comment

What Are the Necessary Components of an Advanced Analytics Solution?

Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever. It is also important to ensure that every team member is a real asset to the organization and can contribute their knowledge and skill with full Insight into the effects and outcome of activities and processes and the ability to correct the course and make recommendations using clear, concise information. Advanced analytics is the…

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Added by Kartik Patel on April 2, 2019 at 1:52am — No Comments

How to use anomaly detection to seal revenue leakages due to price errors

Price errors and their impact:



Price errors are one of the ways in which revenue leakage occurs in e-commerce business. Although retailers put various checks and balances in place, pricing errors are still common. Data entry mistakes, misplaced decimal points, reversal of digits, and other clerical errors made in hurry are the major contributors. It can also occur because errors in feeding promotional offer dates. Promotions might unintendedly start early or end late. Such revenue…

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Added by Avinash Udaykumar on March 26, 2019 at 7:57pm — No Comments

What is Automated Machine Learning (AutoML)?

What is Automated Machine Learning? Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distribute data across the enterprise and use that data to predict, plan and achieve revenue goals.

With the right tools, today’s average business user can become a Citizen Data Scientist, using data integrated from various sources to learn, test theories and make decisions. AutoML comes into play as…

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Added by Kartik Patel on March 13, 2019 at 3:00am — 3 Comments

Can My Business Achieve Optimal Analytics Without Hiring Dozens of Data Scientists?

As the need for advanced analytics increases in organizations, enterprises large and small struggle to find and sustain the professional resources they need to meet their requirements for data, analysis and strategic direction.

In some businesses, Data Scientists, professional analysts and IT staff are often buried under requests for analysis and data and, as a result, these teams are unable to focus on strategic issues and on crucial questions that require 100%…

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Added by Kartik Patel on March 12, 2019 at 2:00am — No Comments

What is Augmented Data Science and Why is it Important to My Business?

If Data Science was once the sole domain of analysts and data scientists, Augmented Data Science represents the democratized view of this domain. With Augmented Data Science, the average business user can engage with advanced analytics tools that allow for automated machine learning (AutoML) and leverage sophisticated analytical techniques and algorithms in a guided environment that uses auto-recommendations and suggestions to lead users through the complex world of data…

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Added by Kartik Patel on March 11, 2019 at 12:52am — No Comments

Data Anonymisation Software – Differences Between Static and Interactive Anonymisation

Which company would not like to get significantly improved insights into the market with detailed data and thus optimize its products and services? In most cases, the corresponding data is already available, but its use is often restricted for data protection reasons.

This article first appeared on the Aircloak Blog - feel free to pay us a visit!…

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Added by Nicolas Sartor on February 21, 2019 at 1:00am — No Comments

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