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

Smart Data Collective

APRIL 5, 2022

Here at Smart Data Collective, we never cease to be amazed about the advances in data analytics. We have been publishing content on data analytics since 2008, but surprising new discoveries in big data are still made every year. You must have quality control systems in place to get reliable data with drones.

Data Quality 268

Data Quality Big Data Procurement Data Analytics 268

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

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

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

Business Analysis Knowledge Share

NOVEMBER 10, 2023

Introduction In the dynamic world of data analytics , Business Analysts play a crucial role in deciphering complex datasets and deriving valuable insights. As a Business Analyst, select the version that best aligns with your data analytics needs, whether it’s for natural language understanding, data summarization, or other tasks.

Data Analytics 66

Data Analytics Data Analytics Healthcare E-Commerce 66

Smart Data Collective

APRIL 5, 2019

A growing number of property management companies around the world are recognizing the benefits of data analytics. Analytics is a necessary element of any digital marketing strategy. Analyzing data patterns and trends is key to ensuring a company reaches the right customers and targets people in the right way.

Data Analytics 195

Data Analytics Data Analytics Big Data Digital 195

Analysts Corner

DECEMBER 21, 2022

The global data as a service (DaaS) market is expected to grow and reach a revenue of US $ 10.7 By 2023 , the big data analytics market is anticipated to reach $103 billion. According to Statistica , by 2025 , the global big data analytics market’s annual revenue is likely to grow to $68.09 billion in 2023.

Big Data 246

Big Data Healthcare Data Quality Data Analytics 246

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

Business Analysis Knowledge Share

MARCH 15, 2023

It involves developing policies, procedures, and standards for data management, as well as assigning roles and responsibilities for data management. Data governance is essential for ensuring data quality, consistency, and security in a data warehouse.

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Astera

MAY 23, 2023

Data-Driven Sports: Unveiling the World of Sports Data Analytics Have you ever wondered how sports teams decide which players to acquire and which strategies to implement? The answer lies in data-driven decision-making. Sports data analytics has become an integral component of the modern sports industry.

Data Analytics 40

Data Analytics Data Analytics Data Security Predictive Analytics 40

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. She is also publisher of “The Data Pub” newsletter on Substack. 3, 2023, I get 45.2 million results.

Data Quality 130

Data Quality Data Analytics Data Analytics Skillset 130

Smart Data Collective

SEPTEMBER 28, 2022

For example, if you want to know what products customers prefer when shopping at your store, you can use big data analytics software to track customer purchases. Big data analytics can also help you identify trends in your industry and predict future sales. Big data management increases the reliability of your data.

Big Data 262

Big Data Data Management Data Quality Healthcare 262

Smart Data Collective

DECEMBER 21, 2022

This market is growing as more businesses discover the benefits of investing in big data to grow their businesses. Unfortunately, some business analytics strategies are poorly conceptualized. One of the biggest issues pertains to data quality. Data cleansing and its purpose.

Big Data 275

Big Data Data Quality Data Governance Government 275

Smart Data Collective

FEBRUARY 28, 2023

Data analytics technology has had a profound impact on the state of the financial industry. A growing number of financial institutions are using analytics tools to make better investing decisions and insurers are using analytics technology to improve their underwriting processes.

Data Mining 258

Data Mining Finance Data Analytics Data Analytics 258

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 157

Data Analytics Data Analytics Data Quality Data Governance 157

Analysts Corner

JUNE 18, 2023

In ELT, raw data is loaded directly into the target system, and the transformation process occurs after the data has been loaded. Advantages of ETL Data Quality: ETL processes typically involve data validation and cleansing, ensuring high data quality and reducing the risk of errors in analysis.

Data Warehouse 130

Data Warehouse IBM Maintenance IBM Support Data Quality 130

Astera

OCTOBER 26, 2023

According to Gartner , poor data quality costs businesses an average of $12.9 million annually, making data preparation one of the most critical parts of a data analyst’s job. Want to experience the ease of Astera’s data management tools firsthand?

Data Quality 52

Data Quality Data Analytics Data Analytics Data Management 52

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

Astera

NOVEMBER 27, 2023

Clean and accurate data is the foundation of an organization’s decision-making processes. However, studies reveal that only 3% of the data in an organization meets basic data quality standards, making it necessary to prepare data effectively before analysis. This is where data profiling comes into play.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 52

ElegantJ BI

FEBRUARY 14, 2022

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Data Visualization 130

ElegantJ BI

FEBRUARY 14, 2022

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Data Visualization 130

ElegantJ BI

FEBRUARY 14, 2022

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Data Visualization 130

Analysts Corner

JUNE 18, 2023

Python, Java, C#) Familiarity with data modeling and data warehousing concepts Understanding of data quality and data governance principles Experience with big data platforms and technologies (e.g., Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation. Reference data management.

Data Management 211

Data Management Data Warehouse Master Data Management Digital Transformation 211

ElegantJ BI

JUNE 13, 2019

Self-Service Data Prep empowers every business user and allows them to prepare data for their analytics using tools that enable data extraction transformation and loading (ETL) so users can quickly move data into the analytics system without waiting for IT or data scientists.

Data Governance 130

Data Governance Data Quality Government Data Analytics 130

ElegantJ BI

JUNE 13, 2019

Self-Service Data Prep empowers every business user and allows them to prepare data for their analytics using tools that enable data extraction transformation and loading (ETL) so users can quickly move data into the analytics system without waiting for IT or data scientists.

Data Governance 130

Data Governance Data Quality Government Data Analytics 130

ElegantJ BI

JUNE 13, 2019

Reduce the time to prepare data for analysis. Engender social BI and data popularity. Balance agility with data governance and data quality. So, why wouldn’t your organization want to implement Data Preparation Software that is easy enough for every business user?

Data Governance 130

Data Governance Data Quality Government Data Analytics 130

Astera

APRIL 24, 2024

Enterprise-Grade Integration Engine : Offers comprehensive tools for integrating diverse data sources and native connectors for easy mapping. Interactive, Automated Data Preparation : Ensures data quality using data health monitors, interactive grids, and robust quality checks.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Insight Software

AUGUST 28, 2023

We are eager to offer this additional support to insightsoftware customers, advancing our own capabilities that improve data quality and visibility, and enhance performance.” About Vizlib Established in 2016, Vizlib strives to provide a best-in-class data visualization and data analytics experience for business users.

Supply Chain 75

Supply Chain Master Data Management Finance Data Quality 75

Astera

JULY 18, 2023

Data wrangling tools are powerful solutions designed to simplify and automate the process of data preparation. They enable data professionals to clean, transform, and organize raw data efficiently, saving countless hours of manual work while ensuring data quality and consistency.

Data Quality 52

Data Quality Visualization Data Visualization Documentation 52

ElegantJ BI

MARCH 7, 2018

Self-Serve Data Preparation Takes the Headache Out of Data Analytics! Self-Serve Data Preparation (aka augmented data preparation) is all about efficiency and the presentation of sophisticated data preparation tools in an easy-to-use environment. Self-Serve Data Preparation is within your reach.

Government 130

Government Data Governance Data Quality Data Analytics 130

ElegantJ BI

MARCH 7, 2018

Self-Serve Data Preparation Takes the Headache Out of Data Analytics! Self-Serve Data Preparation (aka augmented data preparation) is all about efficiency and the presentation of sophisticated data preparation tools in an easy-to-use environment. Self-Serve Data Preparation is within your reach.

Government 130

Government Data Governance Data Quality Data Analytics 130

ElegantJ BI

MARCH 7, 2018

Self-Serve Data Preparation Takes the Headache Out of Data Analytics! Self-Serve Data Preparation (aka augmented data preparation) is all about efficiency and the presentation of sophisticated data preparation tools in an easy-to-use environment. Self-Serve Data Preparation is within your reach.

Government 130

Government Data Governance Data Quality Data Analytics 130

Astera

APRIL 7, 2023

A robust data warehouse architecture does everything in data management—including ETL (extraction, transformation, loading)—while ensuring data quality, consistency, speedy retrieval, and enhanced security at all times. Improving Data Quality and Consistency Quality is essential in the realm of data management.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. What is Reverse ETL?

Data Warehouse 52

Data Warehouse Data Quality E-Commerce Real-time Data 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