Pickl AI

APRIL 14, 2023

In this blog, we are going to discuss more on What are Data platforms & Data Governance. Key Highlights As our dependency on data increases, so does the need to have defined governance policies also rises. Here comes the role of Data Governance. Thus reducing the risk and misuse of data.

Data Governance 52

Data Governance Data Quality Analytics Analytics 52

Tableau

OCTOBER 7, 2024

This technology sprawl often creates data silos and presents challenges to ensuring that organizations can effectively enforce data governance while still providing trusted, real-time insights to the business.

Tableau 138

Tableau Data Quality Analytics Analytics 138

Precisely

NOVEMBER 13, 2024

Challenges around data literacy, readiness, and risk exposure need to be addressed – otherwise they can hinder MDM’s success Businesses that excel with MDM and data integrity can trust their data to inform high-velocity decisions, and remain compliant with emerging regulations. Today, you have more data than ever.

Data Silos 64

Data Silos Data Observability Data Governance Data Quality 64

phData

NOVEMBER 9, 2023

The primary objective of this idea is to democratize data and make it transparent by breaking down data silos that cause friction when solving business problems. What Components Make up the Snowflake Data Cloud? What kinds of Workloads Does Snowflake Handle?

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

Precisely

JANUARY 17, 2023

When organizations neglect data enrichment and location intelligence, for example, they miss out on the perspectives deep contextual information can provide. These factors have expanded the definition of data integrity to include data that is accurate, consistent, and has context.

Data Quality 97

Data Quality Machine Learning Machine Learning Data Silos 97

Alation

MAY 2, 2023

As organizations within the hospitality industry collect, aggregate, and transform large data sets, data consolidation enables them to manage data more purposefully and democratize the analytics process. The more data fed into an algorithm, the more accurate the outcome.

Analytics 52

Analytics Analytics Data Silos Data Governance 52

Alation

MARCH 21, 2023

While this industry has used data and analytics for a long time, many large travel organizations still struggle with data silos , which prevent them from gaining the most value from their data. What is big data in the travel and tourism industry? What are common data challenges for the travel industry?

Analytics 52

Analytics Analytics Data Silos Big Data 52

Precisely

AUGUST 19, 2024

With the explosion of data from customers, products, employees, and locations, businesses are under pressure to manage their golden records effectively to ensure accurate analytics, operational efficiency, and risk mitigation. Understanding Master Data and MDM First, let’s begin with a quick definition of master data.

Data Silos 72

Data Silos Data Governance Analytics Analytics 72

Alation

OCTOBER 12, 2021

In enterprises especially, which typically collect vast amounts of data, analysts often struggle to find, understand, and trust data for analytics reporting. Immense volume leads to data silos, and a holistic view of the business becomes more difficult to achieve. The third challenge was around trusting the data.

Analytics 52

Analytics Analytics Data Governance DataOps 52

Alation

APRIL 12, 2022

The individual initiatives that make up a data strategy may, at times, seem at odds with one another, but tools, such as the enterprise data catalog , can help CDOs in striking the right balance between facilitating data access and data governance. The CDO’s Role in Driving a Data Strategy.

Data Quality 52

Data Quality Data Governance Data Silos Data Analyst 52

Precisely

JUNE 26, 2023

Those who have already made progress toward that end have used advanced analytics tools that work outside of their application-based data silos. Successful organizations also developed intentional strategies for improving and maintaining data quality at scale using automated tools.

Data Quality 52

Data Quality Data Silos Data Governance Analytics 52

Alation

MAY 2, 2023

As organizations within the hospitality industry collect, aggregate, and transform large data sets, data consolidation enables them to manage data more purposefully and democratize the analytics process. The more data fed into an algorithm, the more accurate the outcome.

Analytics 40

Analytics Analytics Data Silos Data Governance 40

Heartbeat

DECEMBER 7, 2023

What are the new data governance trends, “Data Fabric” and “Data Mesh”? I decided to write a series of blogs on current topics: the elements of data governance that I have been thinking about, reading, and following for a while. Advantages: Consistency ensures trust in data governance.

Data Governance 52

Data Governance Deep Learning Deep Learning Artificial Intelligence 52

Pickl AI

DECEMBER 4, 2023

Exploring technologies like Data visualization tools and predictive modeling becomes our compass in this intricate landscape. Data governance and security Like a fortress protecting its treasures, data governance, and security form the stronghold of practical Data Intelligence. Look at the table below.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

phData

SEPTEMBER 1, 2023

Sigma and Snowflake offer data profiling to identify inconsistencies, errors, and duplicates. Data validation rules can be implemented to check for missing or invalid values, and data governance features like data lineage tracking, reusable data definitions, and access controls ensure that data is managed in a compliant and secure manner.

Analytics 52

Analytics Analytics Data Analysis Data Analysis 52

Flipboard

MARCH 21, 2025

Through this unified query capability, you can create comprehensive insights into customer transaction patterns and purchase behavior for active products without the traditional barriers of data silos or the need to copy data between systems. Data analysts discover the data and subscribe to the data.

SQL 135

SQL Data Analyst Data Warehouse AWS 135

Precisely

SEPTEMBER 26, 2024

Data quality and governance gaps = inaccurate results A lack of data governance and quality can lead to inaccuracies, hallucinations, and AI failures. AI systems require high-quality, well-governed data to avoid missteps. Ask yourself questions like: Does our data have proper governance and quality controls?

AI 75

AI AI Data Governance Data Quality 75

phData

SEPTEMBER 27, 2024

All this raw data goes into your persistent stage. Then, if you later refine your definition of what constitutes an “engaged” customer, having the raw data in persistent staging allows for easy reprocessing of historical data with the new logic. Looking for purchase data?

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52