Smart Data Collective

APRIL 21, 2022

We have pointed out in the past that big data offers a number of benefits for online commerce. One of the most important benefits of data analytics pertains to optimizing websites for a good user experience. Data analytics can help with the UX process. Data-Driven Design Tools Help You Create High-Quality Images.

Data Analytics 293

Data Analytics Data Analytics Big Data User Experience 293

Data Pine

APRIL 14, 2022

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. Download our free summary outlining the best big data examples! Discover 10.

Big Data 97

Big Data Healthcare Customer Experience Customer Experience 97

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data challenges and solutions.

Big Data 52

Big Data Supply Chain Data Warehouse Data Analytics 52

Smart Data Collective

JULY 7, 2021

It is impossible to create an effective social media marketing strategy without utilizing big data analytics effectively. You need to learn how to use big data and social analytics with your marketing strategy. Why is Data Analytics the Basis for a Solid Social Media Strategy? There are more than 2.7

Big Data 315

Big Data Data Analytics Data Analytics Planning 315

Smart Data Collective

JULY 24, 2023

In this blog post, we will delve into the transformative power of social media in sports marketing, exploring how it enhances fan engagement, expands sponsorship opportunities, and fuels athlete-brand partnerships. However, data analytics can also help with social media marketing in the sports sector.

Data Analytics 201

Data Analytics Data Analytics Digital Predictive Analytics 201

BizAcuity

MAY 16, 2022

To stay relevant in the market and to increase brand awareness, organizations use big data analytics and business intelligence to navigate their way after getting a full understanding of their ideal customers and their behavior before and during the buying journey. Visual Analytics and Data Visualization.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Data Warehouse 130

Domo

APRIL 28, 2022

“Big data” is the next big opportunity for businesses. The insights provided by big data—which is a combination of structured, semistructured, and unstructured data —allow business teams to solve complex problems, improve customer experience, and identify opportunities to increase sales and accelerate business growth.

Government 98

Government Big Data Data Governance Customer Experience 98

The BAWorld

APRIL 23, 2024

Why Data Analytics Lifecycle Is Essential The data analytic lifecycle is intended for use with large amounts of big data and data science initiatives. This methodology should be organized to address the distinctive requirements for analyzing the information on Big Data. Recognize your data set 3.

Data Analytics 52

Data Analytics Data Analytics Big Data Data Mining 52

Astera

MAY 31, 2024

Data science covers the complete data lifecycle: from collection and cleaning to analysis and visualization. Data scientists use various tools and methods, such as machine learning, predictive modeling, and deep learning, to reveal concealed patterns and make predictions based on data.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Astera

MAY 30, 2024

Statistical Analysis : Using statistics to interpret data and identify trends. Predictive Analytics : Employing models to forecast future trends based on historical data. Data Visualization : Presenting data visually to make the analysis understandable to stakeholders. What Is Big Data Analytics?

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Sisense

JANUARY 1, 2020

Data and analytics are all about finding patterns, figuring out what’s next, and creating a better world. In Build the Future of Data , we give you insights into the tools and trends that will define the next era of business. Few worlds have a pace of innovation quite like data and analytics. D3 Data Visualization ?—

Digital Transformation 98

Digital Transformation Data Warehouse Embedded Analytics Artificial Intelligence 98

Dataversity

FEBRUARY 18, 2022

Even as we grow in our ability to extract vital information from big data, the scientific community still faces roadblocks that pose major data mining challenges. In this article, we will discuss 10 key issues that we face in modern data mining and their possible solutions.

Data Mining 130

Data Mining Big Data Data Warehouse Data Visualization 130

TIBCO

DECEMBER 9, 2015

Until recently, data analytics and data visualization tools have commonly been used by cities and government agencies to address societal challenges such as congestion, crime, and municipal services. Data visualization and analytics have also been applied to gain a better understanding of and addressing gender inequality.

Data Visualization 40

Data Visualization Government Visualization Data Analytics 40

The BAWorld

MARCH 15, 2024

Business Analytics Professional Data has always been central when it comes to business analytics professionals, Business analytics professionals focus on analyzing data to derive insights and support data-driven decision-making. Arguably, there is a debate about which language suits data analysis better.

Data Visualization 52

Data Visualization Visualization Artificial Intelligence Banking 52

Sisense

FEBRUARY 26, 2020

We all know that data is becoming more and more essential for businesses, as the volume of data keeps growing. We all know that data is becoming more and more essential for businesses, as the volume of data keeps growing. That’s why 98% of firms are investing in Big Data and AI initiatives.

Embedded Analytics 90

Embedded Analytics Digital Transformation Digital Chief Data Officer 90

ElegantJ BI

APRIL 27, 2022

What about those dedicated IT professionals who grew up on C++, SQL or Visual Basic, COBOL, Oracle D2K and other older technologies and techniques? BUT, to remain competitive, you must constantly upgrade your skills, take training, subscribe to blogs, read trade journals and periodicals, attend conferences and perhaps even go back to school!

Big Data 130

Big Data Information Technology Information Technology Visualization 130

ElegantJ BI

APRIL 27, 2022

What about those dedicated IT professionals who grew up on C++, SQL or Visual Basic, COBOL, Oracle D2K and other older technologies and techniques? BUT, to remain competitive, you must constantly upgrade your skills, take training, subscribe to blogs, read trade journals and periodicals, attend conferences and perhaps even go back to school!

Big Data 130

Big Data Information Technology Information Technology Visualization 130

ElegantJ BI

APRIL 27, 2022

What about those dedicated IT professionals who grew up on C++, SQL or Visual Basic, COBOL, Oracle D2K and other older technologies and techniques? BUT, to remain competitive, you must constantly upgrade your skills, take training, subscribe to blogs, read trade journals and periodicals, attend conferences and perhaps even go back to school!

Big Data 130

Big Data Information Technology Information Technology Visualization 130

Analysts Corner

MARCH 9, 2023

Why learning Excel is important for a career working with data Image used with permission from Hemanand Vadivel, Co-founder codebasics.io This article was first published in The Data Pub Newsletter on Substack on January 5, 2023. When I google the phrase “Excel is dead” , as of today, Jan. 3, 2023, I get 45.2 million results.

Data Quality 130

Data Quality Data Analytics Data Analytics Skillset 130

Dataversity

JUNE 3, 2021

Data Science is a multidisciplinary field that uses processes, algorithms, and systems to obtain various insights coming from both structured and unstructured data. It is related to data mining, machine learning, and big data. A data scientist – the person in […].

Data Mining 246

Data Mining Big Data Data Visualization Visualization 246

Smart Data Collective

APRIL 7, 2021

One of the best ways to utilize AI to improve your podcast is by improving the visuals. AI technology has made it possible to create a number of fantastic visuals. AI can be useful for helping you improve the quality of your podcasts. You can use AI technology to scale the production of PR content and streamline the distribution of it.

Artificial Intelligence 212

Artificial Intelligence Visualization Digital Planning 212

Astera

APRIL 29, 2024

Did you know data scientists spend around 60% of their time preprocessing data? Data preprocessing plays a critical role in enhancing the reliability and accuracy of analytics. This blog will discuss why data preprocessing is essential for making data suitable for comprehensive analysis.

Big Data 52

Big Data Retail Healthcare Finance 52

BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. Numbers are only good if the data quality is good. Data Lake is turning the tables in Healthcare.

Healthcare 256

Healthcare Data Quality Big Data Visualization 256

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. Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. At present, around 2.7

Artificial Intelligence 140

Artificial Intelligence Big Data Business Intelligence Business Intelligence 140

BizAcuity

MAY 6, 2020

It means taking the data and its inference and relating it to real-life scenarios in a narrative that makes it easy to understand and to make appropriate decisions based on that data. The narrative takes complex data and simplifies it for easier interpretation, these dashboards will be executed with the use of Visual Analytics tools.

Big Data 130

Big Data Visualization Data Analytics Data Analytics 130

The BAWorld

SEPTEMBER 2, 2021

Typical examples are text data, audio, video, social media data, real-time streaming data from IoT smart devices, reviews, and many more, where insights go beyond numbers to feelings, opinions, and ideas. If the review contains a mix of text, audio, and visuals, it cannot be stored in a database. Did You Know?

Big Data 52

Big Data Data Warehouse Data Visualization Visualization 52

ElegantJ BI

AUGUST 4, 2017

This blog post of mine is an extremely biased and opinionated post. One Graph too much If your data to be viewed is not extremely large or extremely dispersed you do not need a graph. You may need a graph to just view large data, not analyse it. Let us visualize the growth over a period of 10 years in the graph.

Big Data 130

Big Data Visualization Data Discovery 130

ElegantJ BI

AUGUST 4, 2017

This blog post of mine is an extremely biased and opinionated post. One Graph too much If your data to be viewed is not extremely large or extremely dispersed you do not need a graph. You may need a graph to just view large data, not analyse it. Let us visualize the growth over a period of 10 years in the graph.

Big Data 130

Big Data Visualization Data Discovery 130

Whizlabs

DECEMBER 16, 2020

Splunk is proprietary software that provides a web-based interface for searching, monitoring, and evaluating machine-based big data. It performs different functions, such as collecting, indexing, and correlating real-time data in a container that has searchable properties. Storage and retrieval of data for later applications.

Big Data 91

Big Data Monitoring Visualization Real-time Data 91

Data Pine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Healthcare 145

Healthcare Big Data Data Analytics Data Analytics 145

BizAcuity

AUGUST 3, 2021

To analyze the various KPI data needs to be captured, stored, and transformed into readable information easier to access and understand by any stakeholders with access to the relevant information using the technologies like big data, artificial intelligence, and machine learning. .

Artificial Intelligence 130

Artificial Intelligence Big Data Visualization Digital 130

BizAcuity

AUGUST 3, 2021

To analyze the various KPI data needs to be captured, stored, and transformed into readable information easier to access and understand by any stakeholders with access to the relevant information using the technologies like big data, artificial intelligence, and machine learning. .

Artificial Intelligence 130

Artificial Intelligence Big Data Visualization Digital 130

The BAWorld

DECEMBER 6, 2023

Leverage the flexibility and affordability of self-paced online courses to grasp the fundamentals of data analysis , including statistical concepts, data cleaning techniques, and data visualization methods. Equip yourself with practical skills and you’ll be on your way to a fulfilling career in data analytics!

Data Analytics 52

Data Analytics Data Analytics Artificial Intelligence Visualization 52

Astera

MAY 6, 2024

Type of Data Mining Tool Pros Cons Best for Simple Tools (e.g., – Data visualization and simple pattern recognition. Simplifying data visualization and basic analysis. – May not cover all data mining needs. Streamlining industry-specific data processing. Big Data Tools (e.g.,

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Sisense

JANUARY 6, 2021

Every company is becoming a data company. Data-Powered Apps delves into how product teams are infusing insights into applications and services to build products that will delight users and stand the test of time. Now that you know what you want everything to look like, define and connect your data sources.

Innovation 119

Innovation Visualization Data Visualization Product Management 119

Data Pine

AUGUST 21, 2019

This gives to that sales graph an overall sense of visual contrast which makes it much more digestible at a glance. A perfect example of how to present sales data, this profit-boosting sales chart offers a panoramic snapshot of your agents’ overall upselling and cross-selling efforts based on revenue and performance.

Visualization 94

Visualization Big Data Data Visualization Data Analytics 94

Data Pine

NOVEMBER 5, 2019

In fact, according to eMarketer, 40% of executives surveyed in a study focused on data-driven marketing, expect to “significantly increase” revenue. Not to worry – we’ll not only explain the link between big data and business performance but also explore real-life performance dashboard examples and explain why you need one (or several).

Monitoring 88

Monitoring Visualization Big Data Chief Data Officer 88