Dataconomy

MARCH 17, 2025

By harnessing the power of machine learning (ML) and natural language processing (NLP), businesses can streamline their data analysis processes and make more informed decisions. Augmented analytics is the integration of ML and NLP technologies aimed at automating several aspects of data preparation and analysis.

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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. What are The Benefits of Learning Tableau for Data Analysts? Enters: Tableau for Data Analyst.

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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.

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Data Science Dojo

OCTOBER 31, 2024

The rise of big data technologies and the need for data governance further enhance the growth prospects in this field. Machine Learning Engineer Description Machine Learning Engineers are responsible for designing, building, and deploying machine learning models that enable organizations to make data-driven decisions.

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Alation

JULY 6, 2021

Common Data Governance Challenges. Every enterprise runs into data governance challenges eventually. Issues like data visibility, quality, and security are common and complex. Data governance is often introduced as a potential solution. And one enterprise alone can generate a world of data.

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Alation

MAY 31, 2023

The state of data governance is evolving as organizations recognize the significance of managing and protecting their data. With stricter regulations and greater demand for data-driven insights, effective data governance frameworks are critical. What is a data architect?

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Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

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Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program?

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Alation

FEBRUARY 14, 2023

And a data breach poses more than just a PR risk — by violating regulations like GDPR , a data leak can impact your bottom line, too. This is where successful data governance programs can act as a savior to many organizations. This begs the question: What makes data governance successful? Where do you start?

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Alation

OCTOBER 28, 2021

This data is also a lucrative target for cyber criminals. Healthcare leaders face a quandary: how to use data to support innovation in a way that’s secure and compliant? Data governance in healthcare has emerged as a solution to these challenges. Uncover intelligence from data. Protect data at the source.

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Alation

JULY 21, 2021

I’m pleased to share that Alation has been named a data governance leader in the new report, The Forrester Wave : Data Governance Solutions, Q3 2021. This recognition from Forrester is gratifying, as it aligns with the success our customers are having with Alation and their data governance programs.

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Alation

JUNE 14, 2022

For the second year in a row, Snowflake has named Alation its Data Governance Partner of the Year. This back-to-back recognition is testament to Alation’s essential role within the Snowflake partner ecosystem at the intersection of data cloud migration , active data governance , and self-service.

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Pickl AI

FEBRUARY 6, 2023

As an application of SQL in Data Science is indispensable, hence, every aspiring data scientist who is preparing for this interview should be well-versed in it. Most of the data scientist or data analyst interviews have a SQL technical evaluation section. From case studies to projects and internships, Pickl.AI

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Dataconomy

DECEMBER 17, 2024

This blog post explores effective strategies for gathering requirements in your data project. Whether you are a data analyst , project manager, or data engineer, these approaches will help you clarify needs, engage stakeholders, and ensure requirements gathering techniques to create a roadmap for success.

Data Quality 91

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Tableau

MARCH 21, 2023

Column DQWs display in lineage and data details You can now view column-level DQWs where you make decisions about data. For Data Analysts using visualizations to make decisions, we have introduced column DQWs to the data details pane.

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Smart Data Collective

MAY 20, 2019

What skills should business analysts be focused on developing? For quite some time, the data analyst and scientist roles have been universal in nature. The more direct experience and talent an analyst has with automation technology, the more desirable they will be. What will our digital future look like?

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Alation

JULY 15, 2021

Eckerson recommends Alation for companies focused on supporting a wide range of users with a collaborative, social platform: Alation takes a people-oriented approach to the data catalog, seeking to foster collaboration and conversation about data. Data Governance: Access with Compliance Guidance.

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The Data Administration Newsletter

OCTOBER 17, 2023

Where exactly within an organization does the primary responsibility lie for ensuring that a data pipeline project generates data of high quality, and who exactly holds that responsibility? Who is accountable for ensuring that the data is accurate? Is it the data engineers? The data scientists?

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Precisely

JANUARY 23, 2024

Data Governance Goes Mainstream To get the most from data analytics initiatives, organizations must proactively work to build data integrity. Doing so requires a sound data governance framework. As such, data governance is a key factor in determining how well organizations achieve compliance and trust.

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Dataconomy

SEPTEMBER 4, 2023

Understand what insights you need to gain from your data to drive business growth and strategy. Best practices in cloud analytics are essential to maintain data quality, security, and compliance ( Image credit ) Data governance: Establish robust data governance practices to ensure data quality, security, and compliance.

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Dataconomy

FEBRUARY 23, 2023

They are responsible for designing, building, and maintaining the infrastructure and tools needed to manage and process large volumes of data effectively. This involves working closely with data analysts and data scientists to ensure that data is stored, processed, and analyzed efficiently to derive insights that inform decision-making.

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Tableau

MAY 11, 2022

Data fabrics do more than drive value with modern data management. In the past, data analysts and IT departments worked independently from one another, effectively decoupling the business’s data needs from IT’s governance and security rule-making.

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Tableau

MAY 11, 2022

Data fabrics do more than drive value with modern data management. In the past, data analysts and IT departments worked independently from one another, effectively decoupling the business’s data needs from IT’s governance and security rule-making.

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Tableau

AUGUST 6, 2021

One way is to increase access to data and facilitate analysis and innovation by migrating to the cloud. Having data and analytics in the cloud removes barriers to access and trust while strengthening data governance. Data governance establishes guidelines for data use, protecting data and building trust.

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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. These might include metrics such as the number of data-driven initiatives launched, the number of employees trained in data analytics, and the impact of data-driven decisions on business performance.

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Dataversity

FEBRUARY 19, 2021

Enterprises are modernizing their data platforms and associated tool-sets to serve the fast needs of data practitioners, including data scientists, data analysts, business intelligence and reporting analysts, and self-service-embracing business and technology personnel.

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Precisely

JULY 1, 2024

It is used to classify different data in different classes. Classification is similar to clustering in a way that it also segments data records into different segments called classes. But unlike clustering, here the data analysts would have the knowledge of different classes or cluster.

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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.

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Alation

JUNE 6, 2022

Alation has been working hard to help all Snowflake users get the most out of their Data Cloud. Data Governance for Every Workload. Alation helps everyone understand and leverage their data by making that data accessible to everyone. Knowing how to use the data is essential. And we have a lot to share.

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Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable.

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Smart Data Collective

OCTOBER 17, 2022

A potential option is to use an ELT system — extract, load, and transform — to interact with the data on an as-needed basis. It may conflict with your data governance policy (more on that below), but it may be valuable in establishing a broader view of the data and directing you toward better data sets for your main models.

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Alation

MARCH 17, 2021

For example, search is simplified by highlighting the most popular assets; stewardship is eased by emphasizing the most active data sets; and governance becomes a part of workflow through flags and suggestions. An MLDC brings many benefits, like: Enhanced data management. Data governance streamlining.

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Alation

AUGUST 30, 2022

we are introducing Alation Anywhere, extending data intelligence directly to the tools in your modern data stack, starting with Tableau. We continue to make deep investments in governance, including new capabilities in the Stewardship Workbench, a core part of the Data Governance App. Data governance at scale.

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IBM Journey to AI blog

JUNE 8, 2023

Lastly, the BI system must connect to a wide variety of data systems across business functions and be usable by those who are not professional data analysts. Performance has been greatly improved, with minimal data upload and cache times, and improved sorting, filtering and data selection within dashboards.

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Alation

JUNE 9, 2021

In this four-part blog series on data culture, we’re exploring what a data culture is and the benefits of building one, and then drilling down to explore each of the three pillars of data culture – data search & discovery, data literacy, and data governance – in more depth.

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ODSC - Open Data Science

APRIL 26, 2023

Data Analyst When people outside of data science think of those who work in data science, the title Data Analyst is what often comes up. What makes this job title unique is the “Swiss army knife” approach to data. But this doesn’t mean they’re off the hook on other programs.

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Pickl AI

JANUARY 23, 2024

Job roles span from Data Analyst to Chief Data Officer, each contributing significantly to organisational success. They employ statistical methods, data visualisation techniques, and programming skills to dissect data, turning it into actionable intelligence. billion by 2025 and $118.7 to enhance your skills.

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