ElegantJ BI

OCTOBER 10, 2016

’ When it comes to data governance, no business wants to risk data anarchy. Data Anarchy occurs: When valuable, critical data sources reside in the same repositories as ungoverned data components. When data is accessed directly with only high level security permission.

Data Governance 100

Data Governance Government Data Discovery Business Intelligence 100

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

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

Smart Data Collective

OCTOBER 17, 2022

While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. What’s causing the data explosion? Big data analytics from 2022 show a dramatic surge in information consumption.

Big Data 288

Big Data Government Data Governance Data Warehouse 288

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

Passionate BA

DECEMBER 5, 2024

Learn about data strategy pitfalls A few words about data strategy Elements of Strategy A solid strategy outlines how an organization collects, processes, analyzes, and uses data to achieve its goals.

Data Governance 130

Data Governance Data Quality Data Architecture Government 130

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. You’re not alone.

Data Governance 130

Data Governance Government Visualization Data Analytics 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

Smart Data Collective

MAY 20, 2019

GDPR helped to spur the demand for prioritized data governance , and frankly, it happened so fast it left many companies scrambling to comply — even still some are fumbling with the idea. More and more organizations deploy data analytics tools to influence their operations, future decisions and to understand consumer behavior.

Cloud Computing 279

Cloud Computing Big Data IBM Support Real-time Data 279

ElegantJ BI

DECEMBER 15, 2015

Debunking Common Business Intelligence Myths Myth #2 – True Self-Serve BI Tools Will Compromise Data Governance Today’s business intelligence market offers many options! In this, the second of the article series, we delve into data governance and separate fact from fiction.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

ElegantJ BI

DECEMBER 15, 2015

Debunking Common Business Intelligence Myths Myth #2 – True Self-Serve BI Tools Will Compromise Data Governance Today’s business intelligence market offers many options! In this, the second of the article series, we delve into data governance and separate fact from fiction.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

ElegantJ BI

DECEMBER 15, 2015

Myth #2 – True Self-Serve BI Tools Will Compromise Data Governance. In this, the second of the article series, we delve into data governance and separate fact from fiction. In many BI implementation scenarios, accessibility, trust and usability of Business Intelligence (BI) solutions is hampered by Data Anarchy.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

Smart Data Collective

DECEMBER 21, 2022

That’s why data cleansing is so important – it’s the process of making sure your data is clean, complete, and consistent before you use it for anything critical. Here’s a closer look at what data cleansing entails, and why it’s essential for any business that relies on data analytics.

Big Data 301

Big Data Data Quality Data Governance Government 301

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

Analysts Corner

FEBRUARY 5, 2023

Also, the fact that data scientists spend 80% of the time finding, organizing and cleansing, reflects on the poor state of both data quality and data governance. It is not astonishing that a 2022 data quality survey discovered that poor data quality impacts 26% of their companies’ revenue. What do you think?

Big Data 130

Big Data IBM Maintenance IBM cost Data Quality 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

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

With self-serve data preparation tools, you can: Improve business analyst and business user productivity. Reduce the time to prepare data for analysis. Engender social BI and data popularity. Balance agility with data governance and data quality. Reduce user dependence on analysts, ETL and SQL expertise.

Data Governance 130

Data Governance Data Quality Government 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.

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.

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.

Government 130

Government Data Governance Data Quality 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

ElegantJ BI

SEPTEMBER 29, 2017

Self-Serve Data Preparation Makes Business Users More Productive and Efficient! There is too much to do in a day to wait for someone else to give you the data you need. You pay your team members to have a certain type of expertise and that doesn’t always include technology or analytical knowledge.

Data Governance 130

Data Governance Government Data Analytics Data Analytics 130

ElegantJ BI

SEPTEMBER 29, 2017

Self-Serve Data Preparation Makes Business Users More Productive and Efficient! There is too much to do in a day to wait for someone else to give you the data you need. You pay your team members to have a certain type of expertise and that doesn’t always include technology or analytical knowledge.

Data Governance 130

Data Governance Government Data Analytics Data Analytics 130

ElegantJ BI

SEPTEMBER 29, 2017

Self-Serve Data Preparation Makes Business Users More Productive and Efficient! There is too much to do in a day to wait for someone else to give you the data you need. You pay your team members to have a certain type of expertise and that doesn’t always include technology or analytical knowledge.

Data Governance 130

Data Governance Government Data Analytics Data Analytics 130

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

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

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

ElegantJ BI

NOVEMBER 10, 2021

A fact-based, data-driven analytical approach will ensure that the business can identify and capitalize on business opportunities, plan for new products, optimize processes and resources and target customers, investments and locations that will help the business to achieve results.

Visualization 130

Visualization Data Governance Business Intelligence Business Intelligence 130

ElegantJ BI

NOVEMBER 10, 2021

A fact-based, data-driven analytical approach will ensure that the business can identify and capitalize on business opportunities, plan for new products, optimize processes and resources and target customers, investments and locations that will help the business to achieve results.

Visualization 130

Visualization Data Governance Business Intelligence Business Intelligence 130

ElegantJ BI

NOVEMBER 10, 2021

A fact-based, data-driven analytical approach will ensure that the business can identify and capitalize on business opportunities, plan for new products, optimize processes and resources and target customers, investments and locations that will help the business to achieve results.

Visualization 130

Visualization Data Governance Business Intelligence Business Intelligence 130

Domo

MAY 24, 2021

To understand how to get there, let’s first look at why it’s been so complicated to leverage all your data. Your company likely has data integrations and pipelines in place to support using data analytics to answer business questions, discover relationships and correlations, and predict outcomes across key areas of your business.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

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

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

ElegantJ BI

AUGUST 17, 2018

But, the idea is gaining ground as markets and organizations adjust to the idea that data analytics and self-serve access can benefit and change data literacy, as well as the approach to and foundation of business decisions, and the collaborative power and application of analytics within the business structure.

Vision 130

Vision Data Governance Government Data Analytics 130