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Showing posts from April, 2019

Data Mining in Excel through Macros

What Is Data Mining? Data mining  is also known as knowledge discovery, and if we have mountains of data to sift through, it can be a daunting task to make sense of it. How do you analyze so many numbers to look for patterns? How do we better understand our customers and our business based on sales data? You might assume that data mining would be something large companies with sophisticated databases would use, but there’s an excellent tool for small-to-medium sized businesses – Microsoft Excel. Read:  SAP training in Delhi Excel  is a piece of spreadsheet software developed by Microsoft over 25 years ago and is available on Windows, Mac OS, Android, and iOS platforms. A  spreadsheet  is basically a grid of rows and columns with cells that store data, and you can perform a wide variety of arithmetic and other functions on the information. Many people use Excel to ‘crunch numbers’ but it can also be used like a database to store and organize informa...

Big Data AWS Case Studies

Facts are Better than Assumptions Whether you’re marketing, managing, or plotting strategy one of the most common (and sometimes deadly) mistakes made by organizational leaders is making key decisions based on assumptions rather than data. In the era of big data, organizations have access to data in qualities and quantities that are exponentially more effective than ever before. But an increase in the available data is only part of the picture. Until recently, the computing power needed to perform complex business analysis wasn’t very accessible, so big data couldn’t be leveraged to its full potential. Today, cloud-based computing through services like Amazon Web Services (AWS) run complex algorithms using big data to predict buying behavior using information harvested from social media, loyalty programs, or even web browser histories. Smart companies use the data and patterns uncovered by AWS to make highly accurate decisions about strategy. Check:   Data Science tra...

Data Science for Marketing: Benefits & Challenges

Data Science Derek is head of marketing at a large company. His boss wants him to use data science, but Derek’s not sure about it. What is it and what are its benefits? Data science  is about analyzing information. In marketing, data science is used to assess how different marketing strategies are working and to understand customers better. For example, if Derek runs an ad on a social media site, he’ll get lots of information back about the number of clicks on the ads, how many of those clicks resulted in a sale, and so on. Analyzing that data will allow Derek to understand how successful the ad was. To help Derek better understand data science for marketing, let’s take a closer look at some of its benefits and its limitations or challenges. Read:  Digital marketing training institute in Delhi Benefits for Marketing There’s a good reason Derek’s boss wants him to use data science. That reason is that there are many benefits that data science can bring to ma...

What is Big Data Analytics?

A First Look at Big Data Analytics Meet Zane. Zane has decided that he wants to go to college to get a degree so he can work with numbers and data. After speaking with his academic advisor, he decides to take a class that focuses on data. After just one short week in the class, Zane receives his first assignment. He has to write a paper about  big data analytics  which is the term used to describe the examination of large amounts of data to see what patterns or other useful information can be found. Come along as Zane learns all about the topic of his first paper. Big Data Analytics Further Defined Zane first learns that users of  big data analytics  not only look at data, but also collect it, organize it, and analyze it for relevant information. The aim is to find patterns, correlations, and information that can help a company make important decisions. Ultimately, the goal of big data analytics is to find all of the knowledge that the data can provide for a ...