Smart Data Collective

MARCH 8, 2021

Big data eliminates all the guesswork and allows fleet managers to make purely informed decisions. All in all, the concept of big data is all about predictive analytics. Such data is great for introducing revamped maintenance practices. Predictive analytics takes care of both direct and indirect costs.

Big Data 358

Big Data Predictive Analytics Logistics Planning 358

Smart Data Collective

JULY 12, 2021

The bottom line is that data analysis will help you monitor the trends in the market and change your trading strategies to maximize profits. Use Data Analytics to Increase Knowledge. One of the best ways to achieve that purpose is continually increasing your data analytics knowledge. Track Your Trading Plan.

Big Data 334

Big Data Predictive Analytics Data Analytics Data Analytics 334

Marutitech

MARCH 10, 2022

” Thankfully, there is predictive analytics. Adopting data analytics solutions is a significant milestone in the development and success of any business. Predictive analytics is a widely used data analytics strategy that improves your company decisions by observing patterns in previous occurrences.

Predictive Analytics 130

Predictive Analytics IBM Maintenance E-Commerce IBM Support 130

Marutitech

DECEMBER 17, 2021

You leave for work early, based on the rush-hour traffic you have encountered for the past years, is predictive analytics. Financial forecasting to predict the price of a commodity is a form of predictive analytics. Simply put, predictive analytics is predicting future events and behavior using old data.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Smart Data Collective

SEPTEMBER 7, 2021

33% respondents of Statista’s survey indicated that big data is essential to their business success. Key advantages of big data in retail. Wondering why data analytics tools stand out among management, payment processing software and other retail software solutions ? 4 real-life examples of retailers leveraging big data.

Retail 320

Retail Big Data Predictive Analytics Digital 320

Smart Data Collective

JULY 21, 2022

Data analytics is incredibly valuable for helping people. More institutions are recognizing this, so the market for data analytics in education is projected to be worth over $57 billion by 2030. We have previously talked about the many ways that big data is disrupting education.

Big Data 343

Big Data Data Analytics Data Analytics Digital 343

Analysts Corner

MAY 22, 2023

Introduction Predictive analytics stands as a cornerstone of modern data science, influencing decisions across industries — from finance to healthcare, from marketing to operations research.

Predictive Analytics 130

Predictive Analytics Healthcare Finance Data Analytics 130

Smart Data Collective

MARCH 3, 2021

Experienced lawyers can become proficient at predicting the outcome and duration, but that comes after many bad guesses that cost them money. Data analytics is popular in many industries for monitoring customer behavior and helps companies make informed decisions. The impact of predictive modelling on personal injury cases.

Big Data 330

Big Data Predictive Analytics Data Analytics Data Analytics 330

BizAcuity

MARCH 31, 2022

You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language. Combined, it has come to a point where data analytics is your safety net first, and business driver second.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

Smart Data Collective

MARCH 27, 2023

Unleash your analytical prowess in today’s most coveted professions – Data Science and Data Analytics! As companies plunge into the world of data, skilled individuals who can extract valuable insights from an ocean of information are in high demand.

Predictive Analytics 251

Predictive Analytics Big Data Data Analytics Data Analytics 251

ElegantJ BI

MAY 13, 2020

Even the smallest businesses deal with a lot of data every day and, while they may feel that they don’t need analytics, this oversight can mean that they do not consider all the data they have when they make a decision or that they tend to make decisions based on opinion or ‘gut feel’.

Predictive Analytics 130

Predictive Analytics Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

MAY 13, 2020

Even the smallest businesses deal with a lot of data every day and, while they may feel that they don’t need analytics, this oversight can mean that they do not consider all the data they have when they make a decision or that they tend to make decisions based on opinion or ‘gut feel’.

Business Intelligence 130

Business Intelligence Business Intelligence Predictive Analytics Data Visualization 130

ElegantJ BI

MAY 13, 2020

Even the smallest businesses deal with a lot of data every day and, while they may feel that they don’t need analytics, this oversight can mean that they do not consider all the data they have when they make a decision or that they tend to make decisions based on opinion or ‘gut feel’.

Business Intelligence 130

Business Intelligence Business Intelligence Predictive Analytics Data Visualization 130

Smart Data Collective

AUGUST 9, 2021

Many companies refer to themselves as data-driven organizations. Unfortunately, not all of these companies use data analytics strategically enough to thrive. In order to become an effective data-driven business, it is necessary to understand what types of data to focus on. Positive and Social Atmosphere.

Big Data 160

Big Data Data Analytics Data Analytics Logistics 160

Analysts Corner

OCTOBER 26, 2024

Source: Mirko Peters with MidJourney and Canva Have you ever walked into a meeting brimming with excitement about a new data project, only to be met with blank stares and crossed arms? I remember my first presentation on a data governance initiative; I was full of hope, but the room felt as cold as an icebox. Probably not.

Data Governance 130

Data Governance Government Visualization Data Analytics 130

The BAWorld

NOVEMBER 5, 2024

” based on the available data. Diagnostics Analytics is used to discover or to determine “why something happened?” ” Predictive Analytics tells about “What is likely to happen?” ” based on the available data. So Google analytics engine nicely summarizes this data for me.

Big Data 98

Big Data Data Mining Data Analytics Data Analytics 98

Astera

MAY 30, 2024

What Is Data Analytics? Data analytics is the science of analyzing raw data to draw conclusions about it. The process involves examining extensive data sets to uncover hidden patterns, correlations, and other insights. Data Mining : Sifting through data to find relevant information.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Analysts Corner

AUGUST 20, 2023

This data is the starting point for understanding customer behavior and preferences. Statistics: Making Sense of the Data Statistics is the science of collecting, analyzing, interpreting, presenting, and organizing data. It helps businesses understand trends, patterns, and relationships within the data.

Supply Chain 130

Supply Chain Predictive Analytics Retail Artificial Intelligence 130

Analysts Corner

OCTOBER 26, 2023

Business Intelligence (BI) is a set of tools, technologies, and practices that transform raw data into meaningful and actionable information, empowering organizations to make informed decisions, optimize processes, and drive better business outcomes.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

ElegantJ BI

MAY 4, 2021

As a primary step in this process, the team wants to implement an augmented analytics solution that will encourage business users to get involved in data analytics, to use data to make fact-based decisions and to present, report and collaborate using real, current and clear information that will support collaboration and improve results.

Digital Transformation 130

Digital Transformation Data Visualization Visualization Business Intelligence 130

ElegantJ BI

MAY 4, 2021

As a primary step in this process, the team wants to implement an augmented analytics solution that will encourage business users to get involved in data analytics, to use data to make fact-based decisions and to present, report and collaborate using real, current and clear information that will support collaboration and improve results.

Digital Transformation 130

Digital Transformation Data Visualization Visualization Business Intelligence 130

Astera

MAY 31, 2024

Data Science vs. Data Analytics Organizations increasingly use data to gain a competitive edge. Two key disciplines have emerged at the forefront of this approach: data science vs data analytics. In contrast, data science enables you to create data-driven algorithms to forecast future outcomes.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

ElegantJ BI

NOVEMBER 10, 2021

First, let’s say that Citizen Data Scientists are not business analysts or data scientists. They are business users with domain, market or professional skills who will benefit from using data analytics.

Digital Transformation 130

Digital Transformation Data Analytics Data Analytics Digital 130

ElegantJ BI

NOVEMBER 10, 2021

First, let’s say that Citizen Data Scientists are not business analysts or data scientists. They are business users with domain, market or professional skills who will benefit from using data analytics.

Digital Transformation 130

Digital Transformation Data Analytics Data Analytics Digital 130

ElegantJ BI

NOVEMBER 10, 2021

First, let’s say that Citizen Data Scientists are not business analysts or data scientists. They are business users with domain, market or professional skills who will benefit from using data analytics.

Digital Transformation 130

Digital Transformation Data Analytics Data Analytics Digital 130

BizAcuity

MAY 16, 2022

The more effectively a company uses data, the better it performs. Cutting down latency or delay is now one of the most crucial elements of business intelligence strategy in present times. So much so that they can predict certain aspects about their customers with high accuracy.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Data Warehouse 130

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. Data Analytics Literacy MUST Exist at All Organizational Levels Finally, it is important to include data literacy considerations.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. Data Analytics Literacy MUST Exist at All Organizational Levels Finally, it is important to include data literacy considerations.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Requirements Planning for Data Analytics. Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. Data Analytics Literacy MUST Exist at All Organizational Levels. Finally, it is important to include data literacy considerations.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

Data Pine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. What Is Business Intelligence And Analytics?

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Marutitech

JUNE 30, 2022

Use alternative predictive analytics methods to compare the outcome of cluster analysis quantitatively. As a result, the predictive model now saved 30 minutes per agent and reduced $110,000 per month in operating costs. Create your future business roadmaps by leveraging your present data. But the question is, how?

Predictive Analytics 52

Predictive Analytics Data Mining Logistics Vision 52

TIBCO

FEBRUARY 21, 2017

And that’s kind of where we’d got to with data analytics and visualization over the last couple of years, but it’s not the end of the evolutionary story by any means. Find out more by joining a webinar I’m presenting for The Innovation Enterprise titled Understanding your Customer and Turning that Insight into Actions.

Data Analytics 45

Data Analytics Data Analytics Artificial Intelligence Digital Transformation 45

BizAcuity

APRIL 25, 2022

Thanks to data analytics, these decisions can now be backed by data. Real-time decisions can be taken in line with data insights. Most casinos lack a proper analytical system to identify and segment customer profiles based on past behavior. Some use-cases are presented in the following paragraphs.

Digital 130

Digital User Experience Retail E-Commerce 130

Data Pine

MAY 14, 2019

“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. At present, around 2.7 Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek.

Artificial Intelligence 140

Artificial Intelligence Big Data Business Intelligence Business Intelligence 140

Tableau

JANUARY 25, 2024

And, while data analysis is one of the most in-demand tech skills sought by employers today, not everyone in an organization has “analyst” in their job title—myself included. Yet, so many of us use data daily to make informed decisions.

Predictive Analytics 71

Predictive Analytics Visualization Data Analytics Data Analytics 71

Data Pine

JUNE 5, 2019

As mentioned earlier, a data dashboard has the ability to answer a host of business-related questions based on your specific goals, aims, and strategies. A data dashboard assists in 3 key business elements: strategy, planning, and analytics. This kind of “focus adjustment” just isn’t possible with spreadsheets. Not pretty.

Logistics 126

Logistics Visualization Data Visualization Digital 126

Sisense

JULY 29, 2020

Change is the law of life and those who look only to the past or present are certain to miss the future.” A significant challenge that change presents, is how to make the right decisions when it happens so you can fully benefit from it. If they don’t, they risk failure and can jeopardize their survival.

Digital Transformation 95

Digital Transformation Healthcare Procurement Embedded Analytics 95