Dataversity

SEPTEMBER 14, 2023

In the dynamic landscape of contemporary business, data analytics in product management has become a pivotal driver of success. Data analytics, the systematic exploration of data sets to glean valuable insights, has revolutionized how companies design, develop, and refine their products.

Product Management 147

Product Management Product Management Data Analytics Data Analytics 147

Analysts Corner

MARCH 30, 2025

This article highlights key moments from the event. Databricks Data Intelligence Day, March 27, 2025, Amsterdam. Third, he emphasized that Databricks can scale as the company grows and serves as a unified data tool for orchestration, as well as data quality and security checks.

Government 130

Government Data Warehouse Cloud Computing Artificial Intelligence 130

Smart Data Collective

AUGUST 21, 2019

A 2015 paper by the World Economic Forum showed that big data might just be a fad. The article certainly raised a lot of controversy, considering the massive emphasis on the value of data technology. However, the article raised some very valid points. The article was not arguing that big data is going to go obsolete.

E-Commerce 221

E-Commerce Big Data Data Quality Data Management 221

Business Analysis Knowledge Share

SEPTEMBER 12, 2023

To navigate this data-rich environment successfully, business analysts can turn to process modeling as a powerful tool. Process modeling helps them streamline their efforts, improve data quality, and make informed decisions throughout the data analytics project lifecycle.

Process Modelling 88

Process Modelling Data Analytics Data Analytics Requirements Gathering 88

The Data Administration Newsletter

SEPTEMBER 5, 2023

Understanding your data may unearth hidden insights and move your business ahead, whether you’re a small startup or an established enterprise. However, going on the road of data analytics may […]

Data Analytics 128

Data Analytics Data Analytics Digital Data Quality 128

The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Learn these to develop competency in Business Analytics. Data Analytics Terms & Fundamentals. Conformity is a data quality dimension, and it measures how well the data aligns to internal, external, or industry-wide standards.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Dataversity

JULY 18, 2022

zettabytes of data were created or replicated in 2020 largely due to the dramatic increase in the number of people staying home for work, school, and entertainment. The post How to Overcome the Plateau of Data Analytics Advancement in Today’s Data Overload appeared first on DATAVERSITY. According to the IDC, 64.2

Data Analytics 130

Data Analytics Data Analytics Data Governance Data Quality 130

Analysts Corner

FEBRUARY 5, 2023

Forrester reports suggest that between 60% and 73% of the total data is never used for analytics. An IBM study states 80% of data scientists utilize their time finding, organizing, and cleansing data (that is improving data quality), and only 20% on data analysis. Food for thought and the way ahead!

Big Data 130

Big Data IBM Maintenance IBM cost Data Quality 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. The following article lists free resources for learning Excel. 3, 2023, I get 45.2

Data Quality 130

Data Quality Data Analytics Data Analytics Skillset 130

Smart Data Collective

JUNE 19, 2019

As such, you should use big data analytics to determine customer loyalty and establish measures that guarantee high retention rates. As such, you should use data analytic tools to determine leakages and hidden resource wastage channels thus optimizing on your operations. Credit Management.

Big Data 231

Big Data Logistics Monitoring Data Analytics 231

Dataversity

MAY 24, 2024

Data extraction is a cornerstone in data analytics, enabling organizations to extract valuable insights from raw data. While basic extraction techniques are fundamental, understanding advanced strategies is crucial for maximizing efficiency and accuracy.

Data Analytics 147

Data Analytics Data Analytics Data Quality Data Governance 147

The BAWorld

JULY 22, 2024

Career in Data Analytics without Coding Is it possible to build a career in data science without programming skills? Although it would seem like programmers hold the majority of the roles in data science but that is not the case! These are the roles that mainly focus on data interpretation, strategy, and decision-making.

IBM Maintenance 95

IBM Maintenance Data Governance Data Quality Government 95

The BAWorld

NOVEMBER 4, 2024

Overview We all know what data analytics is. In many of our previous articles we have explained what data analytics is. In this article we’ll review why it’s so important to modern business practices and how the IIBA CBDA certification will help you succeed in this field. What is IIBA CBDA?

Data Analytics 40

Data Analytics Data Analytics Business Analysis Business Analysis 40

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 Governance and Self-Serve Analytics Go Hand in Hand. Data Analytics Literacy MUST Exist at All Organizational Levels.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

Dataversity

AUGUST 16, 2023

Businesses of all sizes increasingly see the benefits of being data-driven. Various factors have moved along this evolution, ranging from widespread use of cloud services to the availability of more accessible (and affordable) data analytics and business intelligence tools.

Big Data 200

Big Data Business Intelligence Business Intelligence Data Analytics 200

Analysts Corner

JUNE 18, 2023

Data integration has become a crucial aspect of managing this information, and two popular approaches have emerged to address these needs: Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT). In ELT, raw data is loaded directly into the target system, and the transformation process occurs after the data has been loaded.

Data Warehouse 130

Data Warehouse IBM Maintenance IBM Support Data Quality 130

Inflexion Analytics

MAY 22, 2024

In today’s data-centric era, law firms are increasingly recognizing the invaluable contribution of data analytics and reporting in optimizing their operations and informing strategic decision-making. Ultimately, this empowers law firms to make strategic decisions aimed at enhancing profitability and financial stability.

Data Analytics 52

Data Analytics Data Analytics Predictive Analytics Digital Transformation 52

Dataversity

NOVEMBER 13, 2023

However, most of the data in enterprises is of poor quality, hence the majority of the data and analytics fail. To improve the quality of data, more than 80% of the work in data analytics projects is on data […] The post Managing Missing Data in Analytics appeared first on DATAVERSITY.

Data Analytics 162

Data Analytics Data Analytics Data Quality Data Governance 162

Analysts Corner

JUNE 18, 2023

As the importance of data integration and analysis continues to grow, the demand for skilled ETL (Extract, Transform, Load) developers has risen accordingly. ETL developers play a critical role in managing and transforming data to enable organizations to make data-driven decisions.

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

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

The Data Administration Newsletter

FEBRUARY 7, 2024

It involves the gathering, classifying, and analyzing of large volumes of data. Given its very nature, it’s the perfect field for data analytics, which can speed processes up and assess the quality and reliability of data. Due […]

Data Analytics 52

Data Analytics Data Analytics Data Quality Data Governance 52

Dataversity

APRIL 20, 2022

Data analytics and AI play an increasingly pivotal role in most modern organizations. To keep those initiatives on track, enterprises must roll out Data Governance programs to ensure data integrity, compliance, and optimal business value.

Data Governance 130

Data Governance Government Data Analytics Data Analytics 130

Dataversity

MAY 5, 2022

Synthetic data has emerged as a technological solution for organizations struggling with data access and privacy compliance. As a privacy-enhancing technology, it has grown in popularity over the past years, with new predictions forecasting that by 2024, 60% of data used for AI and data analytics will be synthetic.

Data Analytics 130

Data Analytics Data Analytics Data Governance Data Quality 130

Dataversity

JANUARY 5, 2022

In today’s world, mastering data, analytics, and advanced technologies has become a primary driver of business strategy, providing organizations with unlimited possibilities to increase business […]. The post Leading Disruption in 2022: AI, Data Privacy Concerns, and Developer Relations appeared first on DATAVERSITY.

Innovation 130

Innovation Data Analytics Data Analytics Digital 130

Sisense

OCTOBER 15, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Getting your streaming data to work for you.

Supply Chain 98

Supply Chain Cloud Computing Data Quality Data Analytics 98

Tableau

JUNE 3, 2021

Editor's note: This article originally appeared in Forbes. It’s now rare to find an executive who doesn't want their organization to be more data driven. Becoming a data-leading company requires not only data and analytics but also a data culture—a way of working that puts data at the heart of every decision.

Chief Data Officer 111

Chief Data Officer Vision Data Quality Data Analytics 111

Dataversity

SEPTEMBER 24, 2021

We have seen an unprecedented increase in modern data warehouse solutions among enterprises in recent years. Experts believe that this trend will continue: The global data warehousing market is projected to reach $51.18 The reason is pretty obvious – businesses want to leverage the power of data […]. billion by 2028.

Data Warehouse 242

Data Warehouse Data Quality Data Architecture Data Governance 242

The BAWorld

MAY 14, 2024

If you are preparing for a Data Analytics interview, this article provides you with just the right resource. We have collected the top 20 Data Analyst interview questions and have provided likely answers. General Data Analyst Interview Questions These questions are general questions to check your Data Analytics basics.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Visualization 52

The BAWorld

JUNE 18, 2024

Dashboard is an interactive front-end of a data analytics solution that gathers and visualises data from one or more sources, facilitating quick analysis and well-informed decision-making. Even though there are obstacles like poor data quality and low user uptake, they can be overcome with the right plans and tools.

Data Analytics 52

Data Analytics Data Analytics Visualization Monitoring 52

The BAWorld

SEPTEMBER 18, 2024

Data Integration Overview Data integration is actually all about combining information from multiple sources into a single and unified view for the users. This article explains what exactly data integration is and why it matters, along with detailed use cases and methods. How does data integration work?

Data Warehouse 52

Data Warehouse Finance Data Architecture Banking 52

Astera

MAY 6, 2024

It utilizes artificial intelligence to analyze and understand textual data. Therefore, it can help businesses extract insights from text-based sources such as social media posts, customer reviews, articles, and more. Can handle large volumes of data. Data quality is a priority for Astera.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

The BAWorld

NOVEMBER 26, 2021

The objective of EDA is to “understand” the data as follows: Confirm if the data is making sense in the context of the business problem. Get insights into the data summary. Understand patterns and correlations between data variables. Uncover and resolve data quality issues. Exploratory Data Analysis Steps.

Data Mining 52

Data Mining Data Quality Visualization Planning 52

The BAWorld

NOVEMBER 28, 2021

Data wrangling and exploratory analysis are part of data science and play an important role in the data analysis process as they help in properly structuring the data through data detection, data cleaning, data summarizing, etc. . What is Exploratory Data Analysis? You can explore more here.

Visualization 52

Visualization Data Visualization Data Discovery Data Quality 52

The BAWorld

NOVEMBER 26, 2021

The objective of EDA is to “understand” the data as follows: Confirm if the data is making sense in the context of the business problem. Get insights into the data summary. Understand patterns and correlations between data variables. Uncover and resolve data quality issues. Exploratory Data Analysis Steps.

Data Mining 52

Data Mining Data Quality Visualization Planning 52

The Data Administration Newsletter

NOVEMBER 14, 2023

Now that “data” is finally having its day, data topics are blooming like jonquils in March. Data management, data governance, data literacy, data strategy, data analytics, data engineering, data mesh, data fabric, data literacy, and don’t forget data littering.

Data Governance 52

Data Governance Government Data Analytics Data Analytics 52