IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 59

Machine Learning Data Science Statistics Deep Learning 59

datapine

MARCH 31, 2022

S/He is responsible for providing cost-effective solutions to achieve business objectives, comparing operational progress against project development while assisting in planning budgets, forecasts, timelines, and developing reports on performance metrics. Your Chance: Want to start your business intelligence journey today?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

datapine

MARCH 25, 2022

Well, what if you do care about the difference between business intelligence and data analytics? The most straightforward and useful difference between business intelligence and data analytics boils down to two factors: What direction in time are we facing; the past or the future?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

datapine

JANUARY 21, 2020

The balance sheet gives an overview of the main metrics which can easily define trends and the way company assets are being managed. There are countless KPI examples to select and adopt in a strategy, but only the right tracking and analysis can bring profitable results. It doesn’t stop here. click to enlarge**.

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

datapine

MAY 16, 2019

Exclusive Bonus Content: Ready to use data analytics in your restaurant? Get our free bite-sized summary for increasing your profits through data! By managing your information with data analysis tools , you stand to sharpen your competitive edge, increase your profitability, boost profit margins, and grow your customer base.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

datapine

OCTOBER 30, 2019

But let’s get into the basics in more detail, and afterward, we will explore data reporting examples that you can use for your own internal processes and more. Data Reporting Basics. Data analytics is the science of examining raw data with the purpose of drawing conclusions about that information.

Reporting 127

Reporting Visualization Dashboards KPI 127

datapine

APRIL 9, 2019

Furthermore, frequent reporting through HR analytics tools helps companies uphold their business culture, attract and retain employees, and provide them with invaluable knowledge while offering the astute ability to perform at their best potential. Also, problems can be handled before they negatively affect the organization. Education level.

Reporting 155

Reporting Dashboards Metrics Cost-Benefit 155

datapine

NOVEMBER 27, 2019

The consequences of bad data quality are numerous; from the accuracy of understanding your customers to constructing the right business decisions. That’s why it is of utmost importance to start with utilizing the right key performance indicators – there are numerous KPI examples that can make or break the quality process of data management.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

APRIL 13, 2022

A recent Gartner study states that, the number of data and analytics experts in business units will grow at three times the rate of the experts in IT departments, forcing companies to rethink their organizational models and skill sets.

Analytics 52

Analytics Data-driven Metrics Testing 52

Smarten

JULY 13, 2022

If you are in sales, your sales reps need to be able to see data and metrics for products, conversion of prospects to customers, returning customers, bundled product and sales initiatives, upcoming discounts and promotions, and more. Data is a part of your product and service offering.

Sales 76

Sales Predictive Analytics Measurement Reporting 76