Smart Data Collective

JANUARY 25, 2023

Modern data is an increasingly overwhelming field, with new information being created and absorbed by businesses every second of the day. Instead of drawing in the sheer speed of production that we’re encountering, many businesses have moved into effective data management strategies.

Cybersecurity 302

Cybersecurity Documentation Data Management Business Intelligence 302

Dataversity

MAY 4, 2021

Regardless of one’s industry or field, every organization always uses data in their everyday operations to help them attain their goals or help monitor their performance. However, without incorporating Data Management best practices, your data analysis may be flawed. […].

Data Management 130

Data Management Monitoring Data Visualization Data Quality 130

Sisense

JULY 6, 2020

This is why dealing with data should be your top priority if you want your company to digitally transform in a meaningful way, truly become data-driven, and find ways to monetize its data. Employing Enterprise Data Management (EDM). What is enterprise data management?

Data Management 98

Data Management Data Architecture Data Governance Government 98

Tableau

MARCH 3, 2022

Tableau has been named a Leader in the Gartner Magic Quadrant for Analytics & Business Intelligence Platforms for the 10th consecutive year. You need accurate, trusted data to make decisions, and data management and governance practices are a limiting factor. Chief Product Officer, Tableau. Tanna Solberg.

Business Intelligence 98

Business Intelligence Business Intelligence Government Enterprise Architecture 98

Tableau

MARCH 3, 2022

Tableau has been named a Leader in the Gartner Magic Quadrant for Analytics & Business Intelligence Platforms for the 10th consecutive year. You need accurate, trusted data to make decisions, and data management and governance practices are a limiting factor. Chief Product Officer, Tableau. Tanna Solberg.

Business Intelligence 98

Business Intelligence Business Intelligence Government Enterprise Architecture 98

Smart Data Collective

DECEMBER 11, 2020

More analog servers and hard drives are harder to secure than their cloud-based alternatives. Even worse, they can be tricky to connect to when working remotely and may even put the rest of your business’ data security at risk.

Project Management 331

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Smart Data Collective

APRIL 7, 2022

Across the different formats of cybercrime, one continual contender is data breaches, with 60% of businesses that experience any form of data breach going out of business in the following six months.

Business Intelligence 363

Business Intelligence Business Intelligence Data Security Data Management 363

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Government Data Quality 52

The Data Administration Newsletter

MAY 18, 2021

With increasing number of Internet of Things (IoT) getting connected and the ongoing boom in Artificial Intelligence (AI), Machine Learning (ML), Human Language Technologies (HLT) and other similar technologies, comes the demanding need for robust and secure data management in terms of data processing, data handling, data privacy, and data security.

Artificial Intelligence 98

Artificial Intelligence Data Security Data Management Data Architecture 98

Astera

APRIL 7, 2023

However, managing reams of data—coming from disparate sources such as electronic and medical health records (EHRs/MHRs), CRMs, insurance claims, and health-tracking apps—and deriving meaningful insights is an overwhelming task. Improving Data Quality and Consistency Quality is essential in the realm of data management.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Astera

DECEMBER 16, 2024

What is one thing all artificial intelligence (AI), business intelligence (BI), analytics, and data science initiatives have in common? They all need data pipelines for a seamless flow of high-quality data. Astera Astera is an all-in-one, no-code platform that simplifies data management with the power of AI.

Data Warehouse 52

Data Warehouse Real-time Data Monitoring Data Quality 52

Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Smart Data Collective

APRIL 20, 2022

Errors in data entry might have serious effects if they are not discovered quickly. Human mistake is the most common cause of data entry errors. Since typical data entry errors may be minimized with the right steps, there are numerous data lineage tool strategies that a corporation can follow.

Documentation 363

Documentation Data Quality Data Security Data Management 363

The Data Administration Newsletter

FEBRUARY 28, 2023

Data breaches, in case you hadn’t noticed, are all the rage. In today’s world, when smart telephones are all the rage, it’s no surprise that smart technology is being adopted by business as well.

Data Security 59

Data Security Data Governance Big Data Government 59

Smart Data Collective

OCTOBER 22, 2020

Businesses in 2021 need to take a more data-driven approach than ever before. This entails utilizing big data for marketing, optimizing finances and addressing countless other purposes. However, big data has also created some concerns for many businesses. Their internal data could be exposed.

Cybersecurity 336

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Dataversity

APRIL 15, 2022

I co-founded my company to focus on the challenges of supporting a large number of data analysts working on disparate sets of data managed in a massive lake. We borrowed the term “semantic layer” from the folks at Business Objects, who originally coined it in the 1990s. The term was actually over 20 years old […].

Data Management 130

Data Management Data Architecture Data Security Data Governance 130

Domo

JULY 23, 2024

Embrace the data fabric: your secret weapon A data fabric acts like a digital quilt, stitching together various data tools to create a unified and flexible architecture. It aligns data services and streams within your organization, simplifying data management on a massive scale.

Data Warehouse 52

Data Warehouse Data Security Data Architecture Government 52

Astera

AUGUST 15, 2024

For modern organizations, data is a commodity almost always in flux, which exposes it to risk-related challenges. This makes proper data access management even more critical. What Is Data Access Management? Data access management is crucial to an organization’s overall data management strategy.

Data Governance 52

Data Governance Data Security Government Data Warehouse 52

The Data Administration Newsletter

SEPTEMBER 5, 2023

A recent data security incident in the Police Service of Northern Ireland (PSNI) got me thinking about the idea of wicked problems and data. The data security incident was the disclosure of the names, ranks, and job assignments of every officer and civilian support staff member in the PSNI.

Data Security 52

Data Security Data Governance Big Data Cybersecurity 52

Astera

MARCH 31, 2023

In today’s data-driven world, businesses rapidly generate massive amounts of data. Managing this data effectively and timely is critical for decision-making, but how can they make sense of all this data most efficiently? The answer lies in the concept of a single source of truth (SSOT).

Data Quality 52

Data Quality Data Security Data Warehouse Monitoring 52

Astera

JULY 3, 2024

Data architecture is important because designing a structured framework helps avoid data silos and inefficiencies, enabling smooth data flow across various systems and departments. An effective data architecture supports modern tools and platforms, from database management systems to business intelligence and AI applications.

Data Architecture 40

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Astera

MAY 14, 2024

Master data management vs. Metadata management Before proceeding, it’s essential to clarify that while both master data management (MDM) and metadata management are crucial components of data management and governance, they are two unique concepts and, therefore, not interchangeable.

Government 52

Government Data Governance Master Data Management Documentation 52

Domo

MAY 13, 2021

. “A risk management framework utilizes best practices for your specific industry to protect what data you value most,” says Chuck Brooks, President of Brooks Consulting International. “A Also, think about data as a complete life cycle—from acquisition to insightful analysis, says Jack Gold, Principal Analyst and Founder at J.

Data Discovery 64

Data Discovery Master Data Management Data Warehouse Data Security 64

Astera

APRIL 24, 2024

The platform leverages a high-performing ETL engine for efficient data movement and transformation, including mapping, cleansing, and enrichment. Key Features: AI-Driven Data Management : Streamlines data extraction, preparation, and data processing through AI and automated workflows.

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IBM Support IBM cost IBM Maintenance Visualization 52

Astera

JANUARY 17, 2024

Data movement is the process of transferring data from one place to another. This process is typically initiated when there are system upgrades, consolidations, or when there is a need to synchronize data across different platforms for business intelligence or other operational purposes.

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Real-time Data Data Warehouse Data Management Data Security 52

Astera

MAY 20, 2024

Why is Data Lineage Important? Data lineage is crucial for data governance , data management , and regulatory compliance. It ensures transparency and accountability by providing visibility into the entire data flow and transformations. Moreover, data lineage plays a vital role in enhancing data security.

Data Governance 52

Data Governance Healthcare Government Data Quality 52

Astera

FEBRUARY 14, 2024

In the banking industry, MFT serves as a central hub for managing file transfers, ensuring that sensitive data is exchanged securely and efficiently between banks, customers, and other stakeholders. Importance of MFT in Banking Given the sensitive nature of financial data, security is paramount for banks.

Banking 52

Banking Data Security Monitoring Financial Analysis 52

Astera

JUNE 3, 2024

So, whether you’re checking the weather on your phone, making an online purchase, or even reading this blog, you’re accessing data stored in a database, highlighting their importance in modern data management. So, let’s dive into what databases are, their types, and see how they improve business performance.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

NOVEMBER 1, 2023

Data warehouses have risen to prominence as fundamental tools that empower financial institutions to capitalize on the vast volumes of data for streamlined reporting and business intelligence. Efficient Reporting: Standardized data within a data warehouse simplifies the reporting process.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Astera

AUGUST 8, 2023

The drag-and-drop, user-friendly interface allows both technical and non-technical users to leverage Astera solutions to carry out complex data-related tasks in minutes, improving efficiency and performance. 2. Talend Talend is another data quality solution designed to enhance data management processes.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

NOVEMBER 28, 2023

Importance of Data Pipelines Data pipelines are essential for the smooth, automated, and reliable management of data throughout its lifecycle. They enable organizations to derive maximum value from their data assets.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

NOVEMBER 13, 2023

What is an Enterprise Data Warehouse (EDW)? An Enterprise Data Warehouse is a centralized repository that consolidates data from various sources within an organization for business intelligence, reporting, and analysis. So, it is important to consider your specific needs and objectives before choosing an EDW.

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

Astera

SEPTEMBER 1, 2023

In addition, data warehousing helps improve other data management aspects, including: Data Security: Centralizing data in a data warehouse enables the implementation of robust security measures, ensuring that sensitive information is appropriately protected. Take the lead now!

Data Warehouse 40

Data Warehouse Data Modelling Data Quality Data Security 40

Astera

SEPTEMBER 20, 2024

A cloud database operates within the expansive infrastructure of providers like AWS, Microsoft Azure, or Google Cloud, utilizing their global network of data centers equipped with high-performance servers and storage systems. They are based on a table-based schema, which organizes data into rows and columns.

Data Warehouse 40

Data Warehouse Cloud Computing E-Commerce Documentation 40

Astera

JULY 13, 2023

Data integration involves combining data from different sources into a single location, while data consolidation is performed to standardize data structure to ensure consistency. Organizations must understand the differences between data integration and consolidation to choose the right approach for their data management needs.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

Astera

OCTOBER 19, 2023

Built-in connectivity for these sources allows for easier data extraction and integration, as users will be able to retrieve complex data with only a few clicks. Data Security Data security and privacy checks protect sensitive data from unauthorized access, theft, or manipulation. This was up 2.6%

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

AUGUST 5, 2024

Through these steps, business analytics helps organizations leverage data effectively, empowering stakeholders to make informed decisions and achieve sustainable growth. Security and Compliance: Ensure the tool meets industry standards and requirements for data security, privacy, and compliance.

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