Smart Data Collective

FEBRUARY 14, 2021

Do Your Research with Data Mining. Big data makes it a lot easier to research new opportunities. there are a lot of great big data repositories on customer desires and marketing trends. You need to use Hadoop tools to mine this data and find out more about your target customers and product requirements.

Data Mining 214

Data Mining Retail Advantage Advantage 214

Smart Data Collective

MARCH 30, 2022

They can use data on online user engagement to optimize their business models. They are able to utilize Hadoop-based data mining tools to improve their market research capabilities and develop better products. Companies that use big data analytics can increase their profitability by 8% on average.

Commerce 287

Commerce Startups Banking Advantage 287

Datapine Blog

AUGUST 29, 2022

2) Designing Data-Intensive Applications by Martin Kleppman. Best for : Software engineers looking to learn the fundamentals of designing data-intensive applications, the pros, and cons of the different technologies available, as well as key concepts needed to succeed in the process.

Data Mining 105

Data Mining Predictive Analytics Startups Data Analysis 105

Datapine Blog

SEPTEMBER 27, 2022

We have already given you our top data visualization books , top business intelligence books , and best data analytics books. Now it’s time to ponder over our hand-picked list of the 20 best SQL learning books available today. With a MySQL dashboard builder , for example, you can connect all the data with a few clicks.

Data Analysis 117

Data Analysis Knowledge Analysis Business Intelligence 117

Netbasequid

MAY 24, 2022

Still, depending on how they are doing in their market, there may be something to learn from their business process that you can use in your own market. It may be helpful to use data mining tools to find some of the information that’s available online, but is too difficult to find manually. Research your competitors’ tactics.

Competitor Analysis 98

Competitor Analysis Analysis SWOT Data Mining 98

Datapine Blog

MARCH 31, 2022

For instance, you will learn valuable communication and problem-solving skills, as well as business and data management. Added to this, if you work as a data analyst you can learn about finances, marketing, IT, human resources, and any other department that you work with.

Business Intelligence 95

Business Intelligence Intelligence Intelligence Business 95

Datapine Blog

OCTOBER 10, 2019

In the rest of this post, you’ll learn how to do just that. When it comes to creating dashboards that not only speak to your audience but also help to develop your business in a number of vital areas, telling a compelling story (or giving your user the tools to tell others a compelling story) with your data is essential.

Retail 58

Retail KPI Sales Data Mining 58

Datapine Blog

MARCH 25, 2022

Predictive analytics : This method uses advanced statistical techniques coming from data mining and machine learning technologies to analyze current and historical data and generate accurate predictions. You will need to work with your retail analytics to understand what products will work.

Business Intelligence 105

Business Intelligence Intelligence Intelligence Business 105

Datapine Blog

JANUARY 24, 2021

You are a retail company and want to know what you sell, where, and when – remember the specific questions for analyzing data? Usually, regression analysis is based on past data, allowing you to learn from the past for better decisions about the future. Let’s see this through a straightforward example. Who are they?

Data Analysis 126

Data Analysis Analysis IT KPI 126

Zoominfo

MAY 14, 2020

It is composed of statistics, data mining, algorithms, and machine learning to identify trends and behavior patterns. Furthermore, we surveyed 200+ sales and marketing professionals about 78 predictive data points (and “secret sauce” combinations of data points). Predictive intelligence.

Intelligence 162

Intelligence Intelligence Predictive Analytics Profiling 162

Zoominfo

MAY 14, 2020

It is composed of statistics, data mining, algorithms, and machine learning to identify trends and behavior patterns. Furthermore, we surveyed 200+ sales and marketing professionals about 78 predictive data points (and “secret sauce” combinations of data points). Predictive intelligence.

Intelligence 113

Intelligence Intelligence Predictive Analytics Profiling 113