Data Modelling, Data Quality and Innovation

Putting the Business Back Into Business Innovation

Timo Elliott

DECEMBER 14, 2022

Everybody wants to innovate faster, to be more agile, to be able to react quickly to changes in today’s uncertain business environments. So innovation has to mean business! It’s not just a technology toolbox, it’s a platform designed to accelerate innovation and unleash your business potential. So how do organizations do that?

Innovation

Innovation Artificial Intelligence Data Warehouse Government

The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

Data Pine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

Data Quality

Data Quality Monitoring Big Data Government

Unveiling 10.3: Astera Introduces New, Innovative AI Features and Enhanced Capabilities

Astera

AUGUST 22, 2023

Grid View: The Grid View presents a dynamic and interactive grid that updates in real time, displaying the transformed data after each operation. It offers an instant preview and feedback on data quality, helping you ensure the accuracy and integrity of your data.

Innovation

Innovation Documentation Data Analytics Data Analytics

Data Vault vs. Data Mesh: Choosing the Right Data Architecture?

Astera

JANUARY 12, 2024

It was developed by Dan Linstedt and has gained popularity as a method for building scalable, adaptable, and maintainable data warehouses. Self-Serve Data Infrastructure as a Platform: A shared data infrastructure empowers users to independently discover, access, and process data, reducing reliance on data engineering teams.

Data Architecture

Data Architecture Data Warehouse Data Quality Government

The Future of AI in Data Warehousing: Trends and Predictions

Astera

APRIL 28, 2023

By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.

E-Commerce

E-Commerce Supply Chain Artificial Intelligence Data Warehouse

Finance Data Warehouse for Reporting and Analytics

Astera

NOVEMBER 1, 2023

Data Integration: A data warehouse enables seamless integration of data from various systems and eliminates data silos and promotes interoperability and overall performance. Data-driven Finance with Astera Download Now Who Can Benefit from a Finance Data Warehouse?

Data Warehouse

Data Warehouse Finance Data Quality Banking

Why Good Data Management Is Essential to Data Analytics

Insight Software

JANUARY 20, 2021

Organizations that can effectively leverage data as a strategic asset will inevitably build a competitive advantage and outperform their peers over the long term. In order to achieve that, though, business managers must bring order to the chaotic landscape of multiple data sources and data models.

Data Management

Data Management E-Commerce Data Analytics Data Analytics

A Complete Guide to Data Analytics

Astera

MAY 30, 2024

Variety : Data comes in all formats – from structured, numeric data in traditional databases to emails, unstructured text documents, videos, audio, financial transactions, and stock ticker data. Veracity: The uncertainty and reliability of data. Veracity addresses the trustworthiness and integrity of the data.

Data Analytics

Data Analytics Data Analytics Data Mining Supply Chain

Accelerating Artificial Intelligence with Business Analysis

Business Analysts

APRIL 5, 2023

AI is making a significant impact in the enterprise space, enabling organizations to automate processes, gain insights from data, and optimize operations. As AI continues to evolve, it will become even more critical for businesses to leverage technology to remain competitive and drive innovation.

Artificial Intelligence

Artificial Intelligence Business Analysis Business Analysis Requirements Gathering

Data Vault 2.0: What You Need to Know

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

Data Warehouse

Data Warehouse Healthcare Big Data Data Governance

The Complete Guide to Reverse ETL

Astera

JANUARY 25, 2024

Reverse ETL, used with other data integration tools , like MDM (Master Data Management) and CDC (Change Data Capture), empowers employees to access data easily and fosters the development of data literacy skills, which enhances a data-driven culture.

E-Commerce

E-Commerce Data Warehouse Retail Customer Experience

Billie Inspires Customer Trust with Tool to Improve Dashboard Reliability

Sisense

JANUARY 14, 2021

VP of Business Intelligence Michael Hartmann describes the problem: “When an upstream data model change was introduced, it took a few days for us to notice that one of our Sisense charts was ‘broken.’ We believe this can help teams be more proactive and increase the data quality in their companies,” said Ivan.

E-Commerce

E-Commerce Business Intelligence Business Intelligence Data Modelling

Health Data Management | Challenges and Best Practices

Astera

JANUARY 23, 2023

The healthcare industry has evolved tremendously over the past few decades — with technological innovations facilitating its development. Billion by 2026 , showing the crucial role of health data management in the industry. Ensuring Data Quality Medical errors are the third leading reason for death in the US.

Data Management

Data Management IBM Maintenance Healthcare IBM cost

B2B Data Integration Simplified using Astera Data Stack

Astera

JUNE 14, 2023

Transformation: Converting data into a consistent format for easy use. Aligning external and internal data formats. Handling inaccurate and abnormal data. Ensuring data quality and consistency. Loading/Integration: Establishing a robust data storage system to store all the transformed data.

Procurement

Procurement Data Security Retail Monitoring

Big Data Security: Protecting Your Valuable Assets

Astera

MAY 25, 2023

Big data drives innovation, but only if it remains secure. what are the 3 elements on big data security? To effectively secure big data, you must focus on three core elements: confidentiality, integrity, and availability. Change management: Establish a standardized process for making changes to data sets.

Big Data

Big Data Data Security Monitoring Data Quality

Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

JANUARY 27, 2021

Our innovations are people-centric by design, helping unlock creativity to solve tangible challenges with data. In addition to technology, Tableau is invested in helping organizations build their Data Culture, so they can be successful with analytics at scale. People love Tableau because it’s powerful, yet intuitive.

Business Intelligence

Business Intelligence Business Intelligence Government Visualization

Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

JANUARY 27, 2021

Our innovations are people-centric by design, helping unlock creativity to solve tangible challenges with data. In addition to technology, Tableau is invested in helping organizations build their Data Culture, so they can be successful with analytics at scale. People love Tableau because it’s powerful, yet intuitive.

Business Intelligence

Business Intelligence Business Intelligence Government Visualization

Business Analysis Digest

Putting the Business Back Into Business Innovation

The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

Trending Sources

Unveiling 10.3: Astera Introduces New, Innovative AI Features and Enhanced Capabilities

Data Vault vs. Data Mesh: Choosing the Right Data Architecture?

The Future of AI in Data Warehousing: Trends and Predictions

Finance Data Warehouse for Reporting and Analytics

Why Good Data Management Is Essential to Data Analytics

A Complete Guide to Data Analytics

Accelerating Artificial Intelligence with Business Analysis

Data Vault 2.0: What You Need to Know

The Complete Guide to Reverse ETL

Billie Inspires Customer Trust with Tool to Improve Dashboard Reliability

Health Data Management | Challenges and Best Practices

B2B Data Integration Simplified using Astera Data Stack

Big Data Security: Protecting Your Valuable Assets

Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

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