Dataconomy

APRIL 6, 2023

To democratize data, organizations need to provide people with the tools and resources they need to access, analyze, and draw insights from data. The ultimate goal of data democratization is to create a more open and transparent culture around data, where everyone has access to the information they need to make informed decisions.

Data Governance 118

Data Governance Data Silos Data Analysis Data Analysis 118

Dataconomy

SEPTEMBER 4, 2023

Here are some of the key types of cloud analytics: Descriptive analytics: This type focuses on summarizing historical data to provide insights into what has happened in the past. It helps organizations understand trends, patterns, and anomalies in their data.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Data Science Connect

MARCH 22, 2023

This could include data quality checks, alerts, and notifications. Establish data governance: Establish clear data governance policies to ensure that your data is accurate, complete, and accessible. This could include data visualization tools, predictive analytics software, and more.

Data Observability 130

Data Observability Data Governance Analytics Analytics 130

Alation

MAY 4, 2023

Are you an aspiring data scientist , or just want to understand the benefits of integrating data catalogs with visualization tools? In today’s ever-growing world of data, having an easy way to gain insights quickly is essential. It helps them effectively capture, store, manage, and share data assets.

Data Visualization 52

Data Visualization Data Governance Tableau Data Scientist 52

Data Science Dojo

OCTOBER 10, 2023

Link to event -> Generative AI and Data Storytelling Here are some of the key takeaways from the article: Generative AI is a type of artificial intelligence that can create new content, such as text, images, and music. Data storytelling is the process of using data to communicate a story in a way that is engaging and informative.

AI 243

AI AI Data Observability Artificial Intelligence 243

Alation

MAY 4, 2023

Are you an aspiring data scientist , or just want to understand the benefits of integrating data catalogs with visualization tools? In today’s ever-growing world of data, having an easy way to gain insights quickly is essential. It helps them effectively capture, store, manage, and share data assets.

Data Visualization 40

Data Visualization Data Governance Tableau Data Scientist 40

Dataconomy

MARCH 28, 2025

Entity resolution Entity resolution techniques consolidate data points into comprehensive profiles, allowing organizations to understand and act on the complete picture of their data. Data enrichment and AI processing Enhancing data quality is crucial in this phase.

Data Science 91

Data Science Machine Learning Machine Learning Business Intelligence 91

Dataconomy

APRIL 6, 2023

To democratize data, organizations need to provide people with the tools and resources they need to access, analyze, and draw insights from data. The ultimate goal of data democratization is to create a more open and transparent culture around data, where everyone has access to the information they need to make informed decisions.

Data Governance 70

Data Governance Data Silos Data Analysis Data Analysis 70

Pickl AI

OCTOBER 11, 2023

Data Observability and Data Quality are two key aspects of data management. The focus of this blog is going to be on Data Observability tools and their key framework. The growing landscape of technology has motivated organizations to adopt newer ways to harness the power of data. What is Data Observability?

Data Observability 52

Data Observability Data Quality Data Pipeline Data Governance 52

IBM Journey to AI blog

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Data Quality 52

Data Quality Data Governance Data Scientist Data Wrangling 52

Precisely

AUGUST 15, 2024

Address common challenges in managing SAP master data by using AI tools to automate SAP processes and ensure data quality. Create an AI-driven data and process improvement loop to continuously enhance your business operations. Think about material master data, for example. Data creation and management processes.

AI 64

AI AI Data Quality Data Engineering 64

Alation

MAY 16, 2023

Data Pipeline Use Cases Here are just a few examples of the goals you can achieve with a robust data pipeline: Data Prep for Visualization Data pipelines can facilitate easier data visualization by gathering and transforming the necessary data into a usable state.

Data Pipeline 69

Data Pipeline Data Governance Data Lakes Data Warehouse 69

phData

FEBRUARY 16, 2023

An ACE is a dedicated team or unit within an organization that is responsible for managing and optimizing the use of data and analytics. Step 5: Establish Processes and Policies for Data Management and Analysis An ACE should establish clear processes and policies for managing and analyzing data.

Analytics 52

Analytics Analytics Data Analyst Data Governance 52

Dataversity

AUGUST 16, 2024

Part 1 of this article considered the key takeaways in data governance, discussed at Enterprise Data World 2024. […] The post Enterprise Data World 2024 Takeaways: Key Trends in Applying AI to Data Management appeared first on DATAVERSITY.

Data Governance 52

Data Governance AI AI Data Quality 52

IBM Journey to AI blog

JULY 3, 2024

Multiple data applications and formats make it harder for organizations to access, govern, manage and use all their data for AI effectively. Scaling data and AI with technology, people and processes Enabling data as a differentiator for AI requires a balance of technology, people and processes.

AI 45

AI AI Data Quality Database 45

Pickl AI

JULY 25, 2023

Proficient in programming languages like Python or R, data manipulation libraries like Pandas, and machine learning frameworks like TensorFlow and Scikit-learn, data scientists uncover patterns and trends through statistical analysis and data visualization. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

DECEMBER 4, 2023

From powerful analytics software to Machine Learning algorithms, these tools transform data into actionable intelligence. Exploring technologies like Data visualization tools and predictive modeling becomes our compass in this intricate landscape. It ensures data quality , integrity, and compliance.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Alation

MAY 16, 2023

Data Pipeline Use Cases Here are just a few examples of the goals you can achieve with a robust data pipeline: Data Prep for Visualization Data pipelines can facilitate easier data visualization by gathering and transforming the necessary data into a usable state.

Data Pipeline 40

Data Pipeline Data Governance Data Lakes Data Warehouse 40

Pickl AI

JUNE 11, 2024

Clearly defining your objectives will guide critical decisions regarding data selection, modelling approaches, and reporting strategies. Ensure Data Quality Data quality is the cornerstone of a successful data warehouse. Regularly Monitor and Maintain A data warehouse is not a static entity.

Data Warehouse 52

Data Warehouse ETL Data Mining Data Mining 52

ODSC - Open Data Science

APRIL 26, 2023

These programs allow them to design and build scalable and efficient data pimples that can handle large volumes of data, and ensure that the data is stored in a secure and reliable manner. Data Governance Manager Believe it or not, data requires rules to stay consistent, accurate, and secure.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

AWS Machine Learning Blog

AUGUST 21, 2023

Our customers wanted the ability to connect to Amazon EMR to run ad hoc SQL queries on Hive or Presto to query data in the internal metastore or external metastore (such as the AWS Glue Data Catalog ), and prepare data within a few clicks. Alternatively, on the File menu, choose New , then choose Data Wrangler flow.

AWS 98

AWS Data Lakes Clustering Data Preparation 98

Dataversity

JUNE 20, 2022

Running a business is impossible without data. Data clarifies the facts, revealing insights that help everyone from top executives to front-line employees make better decisions. Nonetheless, it is as much an art as a science to make sense of data and use it to maximum effect. The amount of data […].

Data Quality 98

Data Quality Data Governance Data Visualization Analytics 98

Pickl AI

AUGUST 9, 2024

Data Cleaning and Transformation Techniques for preprocessing data to ensure quality and consistency, including handling missing values, outliers, and data type conversions. Students should learn about data wrangling and the importance of data quality.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

phData

SEPTEMBER 4, 2024

Insights are immediately generated by entering a data question into ThoughtSpot’s Ask any data question search bar. Data Visualizations ThoughSpot enables users to easily pin data answers and insights to a Liveboard, the ThoughtSpot term for a dashboard.

Analytics 52

Analytics Analytics SQL ETL 52

Pickl AI

MAY 7, 2024

Summary: Struggling to translate data into clear stories? This data visualization tool empowers Data Analysts with drag-and-drop simplicity, interactive dashboards, and a wide range of visualizations. Tableau can help!

Data Analyst 52

Data Analyst Tableau Data Science Data Analysis 52

phData

JULY 18, 2023

Better Transparency: There’s more clarity about where data is coming from, where it’s going, why it’s being transformed, and how it’s being used. Improved Data Governance: This level of transparency can also enhance data governance and control mechanisms in the new data system.

Data Warehouse 52

Data Warehouse Analytics Analytics Cloud Data 52

phData

SEPTEMBER 1, 2023

See how phData created a solution for ingesting and interpreting HL7 data 4. Data Quality Inaccurate data can have negative impacts on patient interactions or loss of productivity for the business. Sigma and Snowflake offer data profiling to identify inconsistencies, errors, and duplicates.

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52

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.

Data Quality 52

Data Quality Data Governance Data Visualization Business Intelligence 52

Dataconomy

MARCH 18, 2025

Considerations for a modern IT environment To harness the full potential of continuous intelligence, organizations need to eliminate data silos that hinder data sharing and collaboration. Maintaining robust data governance is also vital, ensuring that data quality and compliance standards are upheld throughout the organization.

Machine Learning 91

Machine Learning Machine Learning Data Analysis Data Analysis 91

SAS Software

NOVEMBER 27, 2024

En la actualidad, los modelos analíticos son herramientas esenciales para tomar decisiones basadas en datos. Desde prever tendencias hasta optimizar operaciones, los modelos analíticos dependen en gran medida de la calidad de los datos de entrada.

Data Scientist 59

Data Scientist Data Quality Data Visualization Data Governance 59