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

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

Analysts Corner

JANUARY 12, 2023

In this article, we present a brief overview of compliance and regulations, discuss the cost of non-compliance and some related statistics, and the role data quality and data governance play in achieving compliance. The average cost of a data breach among organizations surveyed reached $4.24

Data Quality 130

Data Quality Data Governance Government IBM cost 130

Astera

MAY 2, 2024

57% of organizations with data governance programs notice better quality in their data analytics, and 60% see improvements in the actual data they use. Given these significant benefits, many businesses have implemented data governance practices to gather, store, and process data. Wrapping Up!

Data Governance 52

Data Governance Government Data Quality Data Analytics 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

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

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

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

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. While it is true that advanced analytics can help every type and size of business, it is important to remember that YOUR organization is not like any other enterprise.

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. While it is true that advanced analytics can help every type and size of business, it is important to remember that YOUR organization is not like any other enterprise.

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. While it is true that advanced analytics can help every type and size of business, it is important to remember that YOUR organization is not like any other enterprise.

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

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Poor data quality.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 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

Astera

AUGUST 8, 2023

What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

JANUARY 25, 2024

Reverse ETL, used with other data integration tools , like MDM (Master Data Management) and CDC (Change Data Capture), empowers employees to access data easily and fosters the development of data literacy skills, which enhances a data-driven culture.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

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

MARCH 15, 2023

Data Governance Data governance is the process of managing data as an enterprise asset. It involves developing policies, procedures, and standards for data management, as well as assigning roles and responsibilities for data management.

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Dataversity

JANUARY 6, 2023

This is especially true when it comes to managing data flows and ensuring the precision of analytics insights. Today’s business landscape is more unpredictable than ever for IT leadership.

Digital Transformation 130

Digital Transformation Digital Data Quality Data Governance 130

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

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

Dataversity

JUNE 28, 2021

Humans process visual data far more quickly and effectively than other ways of presenting information. The need for visual data, which speaks for thousands of words, has sparked the emergence of interactive dashboards. Click to learn more about author Ashok Sharma.

Visualization 130

Visualization Data Quality Data Governance Data Visualization 130

The Data Administration Newsletter

NOVEMBER 14, 2023

Trust is defined as the assured reliance or belief on the character, ability, strength, or truth of someone or something (Webster’s Dictionary). It’s a term we use often to describe how we feel about the people, the institutions, and the things around us. But I would argue that the term “trust” was used differently […]

Data Quality 59

Data Quality Data Governance Government Data Management 59

Dataversity

MARCH 19, 2021

Businesses are creating data at an incredible pace that will only accelerate. In fact, data storage company Seagate predicts it will pass a yearly rate of “163 zettabytes (ZB) by 2025. That’s ten times the amount of data produced in 2017.” Click to learn more about author Jon Reilly. Moore’s Law – the principle that […].

Data Governance 130

Data Governance Data Quality Big Data Government 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. So, yes, you can have it all!

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. So, yes, you can have it all!

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. So, yes, you can have it all!

Government 130

Government Data Governance Data Quality Data Analytics 130

Astera

APRIL 24, 2024

From data ingestion and validation to transformation and preparation to loading into a data warehouse, it accelerates time-to-insight by automating data movement. With Astera’s no-code platform, ingest data from various sources into your data ecosystem without writing a single line of code.

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 52

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

DECEMBER 22, 2022

Online data warehouses offer many benefits, such as connectivity to multiple unstructured data sources, faster analysis, and smoother disaster recovery. A robust data integration tool simplifies connecting to cloud storage. Challenge # 2: Accessing Siloed Data. How Automated Data Extraction Fits Here.

Data Quality 52

Data Quality Data Mining Data Warehouse Data Governance 52

ElegantJ BI

SEPTEMBER 6, 2019

With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. SSDP or Self-Serve Data Preparation is a crucial component of Advanced Data Discovery. What is SSDP?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 6, 2019

With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. SSDP or Self-Serve Data Preparation is a crucial component of Advanced Data Discovery. What is SSDP?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 6, 2019

With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. SSDP or Self-Serve Data Preparation is a crucial component of Advanced Data Discovery. Self-Serve Data Prep in Action. What is SSDP?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130