Data Science Dojo

JANUARY 13, 2023

The conference brings together business leaders, data analysts, and technology professionals to discuss the latest trends and innovations in data and analytics, and how they can be applied to drive business success.

Data Science 284

Data Science Data Mining Data Mining Data Mining 284

Dataconomy

APRIL 21, 2023

Regular audits: Conduct regular audits of data to identify and correct any issues. This can involve comparing data across different sources, formats, and time periods. Data governance: Establish clear policies and procedures for data management, including data quality standards, data ownership, and data privacy.

Data Quality 149

Data Quality Data Governance Data Visualization Power BI 149

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

Smart Data Collective

FEBRUARY 23, 2021

Not Having a Data Architecture Plan. Data quality matters, but along with that, even its structure matters. When you’re dealing with big data, it’s essential that you manage it well. Without a data governance framework in place, you won’t be able to find and retrieve the required data with ease. What’s more?

Big Data 142

Big Data Big Data Data Visualization Data Quality 142

Dataconomy

MARCH 17, 2025

Automatic data identification Data extraction methods utilized by AI algorithms allow for the identification of relevant data from a multitude of sources. This capability ensures that users can focus on insights rather than data gathering, significantly reducing time spent on preliminary stages of analysis.

Augmented Analytics 91

Augmented Analytics Analytics Analytics Natural Language Processing 91

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

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

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

Tableau

JANUARY 26, 2022

Senior Data Skills Curriculum Strategy Manager, Tableau. According to the National Institutes of Health (NIH), “Data visualization is becoming an increasingly common method of presenting large and complex data sets, but the principles of visual communication are not widely understood or practiced.” Bronwen Boyd.

Tableau 102

Tableau Data Visualization Data Governance Data Science 102

Tableau

JANUARY 26, 2022

Senior Data Skills Curriculum Strategy Manager, Tableau. According to the National Institutes of Health (NIH), “Data visualization is becoming an increasingly common method of presenting large and complex data sets, but the principles of visual communication are not widely understood or practiced.” Bronwen Boyd.

Tableau 98

Tableau Data Visualization Data Governance Data Science 98

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

Analytics Vidhya

FEBRUARY 2, 2023

Introduction Data analytics solutions collect, process, and analyze data to extract insights and make informed business decisions. The need for a data analytics solution arises from the increasing amount of data organizations generate and the need to extract value from that data.

Analytics 301

Analytics Analytics Data Visualization Data Analysis 301

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

Tableau

JULY 30, 2013

October 4th | At the Columbus TUG , learn how to start writing and sharing your data journey publicly with Tableau Social Ambassador Christina Gorga who will share her journey and provide resources that will make your digital writing journey more manageable. 1) Discover how Tableau users are implementing Data Governance.

Tableau 52

Tableau Data Governance Data Visualization Analytics 52

Pickl AI

JUNE 18, 2024

Summary: This blog dives into the most promising Power BI projects, exploring advanced data visualization, AI integration, IoT & blockchain analytics, and emerging technologies. Discover best practices for successful implementation and propel your organization towards data-driven success.

Power BI 52

Power BI Data Analysis Data Analysis Data Visualization 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 69

Data Pipeline Data Governance Data Lakes Data Warehouse 69

Tableau

OCTOBER 8, 2021

Connecting directly to this semantic layer will help give customers access to critical business data in a safe, governed manner. This partnership makes data more accessible and trusted.

Tableau 138

Tableau Analytics Analytics Machine Learning 138

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

Alation

JULY 13, 2021

The Five Pain Points of Moving Data to the Cloud. Data classification presents challenges when moving environments. Data governance is hard, especially when building trust and quality. The marriage of on-prem with cloud data is challenging. The centrality of data development is crucial.

Cloud Data 52

Cloud Data Data Governance Data Warehouse Data Mining 52

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. They work closely with data analysts and data scientists to identify and prioritize opportunities for data-driven improvements–and to develop and implement solutions.

Analytics 52

Analytics Analytics Data Analyst Data Governance 52

Alation

FEBRUARY 13, 2020

Data Literacy—Many line-of-business people have responsibilities that depend on data analysis but have not been trained to work with data. Their tendency is to do just enough data work to get by, and to do that work primarily in Excel spreadsheets. Will data stewards assume curation responsibilities?

Data Governance 52

Data Governance Data Analysis Data Analysis Data Preparation 52

Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

IBM Journey to AI blog

DECEMBER 16, 2022

Because Alex can use a data catalog to search all data assets across the company, she has access to the most relevant and up-to-date information. She can search structured or unstructured data, visualizations and dashboards, machine learning models, and database connections. Protected and compliant data.

Data Quality 52

Data Quality Data Governance Data Scientist Data Wrangling 52

Pickl AI

OCTOBER 11, 2023

Key Features Benefit from the real-time surveillance thus, it helps in identifying potential issues in real-time It comes with advanced analytical capacities contributing to well-informed decision-making; Intuitively explore and grasp the intricacies of data. In such a case, you need to integrate with the Data Observability platform.

Data Observability 52

Data Observability Data Quality Data Pipeline Data Governance 52

Tableau

OCTOBER 8, 2021

Connecting directly to this semantic layer will help give customers access to critical business data in a safe, governed manner. This partnership makes data more accessible and trusted.

Tableau 98

Tableau Analytics Analytics Machine Learning 98

phData

AUGUST 25, 2023

The migration of SSRS (SQL Server Reporting Services) reports to Power BI Service marks a significant shift in data visualization and reporting capabilities. During the migration process, existing.rdl reports are pointed to a Snowflake Data Cloud database from an existing data source in Power BI Report Builder.

Power BI 52

Power BI SQL Data Governance Database 52

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 Engineering Data Engineering Data Engineer 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

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

Women in Big Data

DECEMBER 9, 2024

It integrates seamlessly with a wide range of data sources like Excel, Azure and SQL server, Salesforce, SAP Hana, IBM Netezza and CDP which makes it a compelling choice for businesses that have already invested in the Microsoft ecosystem. It allows users to create highly customizable and visually appealing reports.

Big Data 52

Big Data Big Data Power BI Tableau 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

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

Precisely

AUGUST 15, 2024

An increasing number of GenAI tools use large language models that automate key data engineering, governance, and master data management tasks. These tools can generate automated outputs including SQL and Python code, synthetic datasets, data visualizations, and predictions – significantly streamlining your data pipeline.

AI 64

AI AI Data Quality Data Engineering 64

Alation

FEBRUARY 20, 2020

Analyst Michelle Goetz, a well known advisor to enterprise architects, chief data officers, and business analysts, has been tracking this market for some time. She’s seen the evolution of the self-service analytics market from decision systems to business intelligence to data visualization to data science and automated intelligence.

Machine Learning 52

Machine Learning Machine Learning Natural Language Processing Analytics 52

Pickl AI

APRIL 2, 2024

Tableau/Power BI: Visualization tools for creating interactive and informative data visualizations. Hadoop/Spark: Frameworks for distributed storage and processing of big data. Cloud Platforms (AWS, Azure, Google Cloud): Infrastructure for scalable and cost-effective data storage and analysis.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

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

JUNE 11, 2024

Ensure Data Quality Data quality is the cornerstone of a successful data warehouse. Inaccurate or inconsistent data leads to misleading insights and, ultimately, poor decision-making. Implement robust data governance processes to ensure data accuracy and consistency throughout the ETL process.

Data Warehouse 52

Data Warehouse ETL Data Mining Data Mining 52