AWS Big Data

APRIL 19, 2023

Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights. A modern data architecture is critical in order to become a data-driven organization.

Technology 105

Technology Data-driven Machine Learning Sales 105

AWS Big Data

OCTOBER 25, 2023

Text, images, audio, and videos are common examples of unstructured data. Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. Amazon Textract – You can use this ML service to extract metadata from scanned documents and images.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

Sisense

AUGUST 28, 2019

What does it mean for your data? Let’s dive into what you should consider in a BI platform to ensure you’re protecting and future-proofing your company’s data strategy. But they come at the cost of true consumer flexibility — and your company’s ability to confidently invest in a cloud-agnostic data strategy.

Analytics 73

Analytics Data Strategy Strategy Data Architecture 73

Sisense

JULY 6, 2020

Its main purpose is to establish an enterprise data management strategy. That includes the creation of fundamental documents that define policies, procedures, roles, tasks, and responsibilities throughout the organization. These regulations, ultimately, ensure key business values: data consistency, quality, and trustworthiness.

Enterprise 98

Enterprise Management Data Architecture Data-driven 98

Cloudera

NOVEMBER 30, 2020

The framework incorporates seven foundational principles designed to ensure organizations gain a sustainable competitive advantage by preventing privacy infractions and data breaches from occurring, right from the outset. . Data Strategy . Define a data strategy, classify sensitive data, and document how it is used.

Data Strategy 68

Data Strategy Strategy Data Architecture Risk 68

IBM Big Data Hub

DECEMBER 16, 2022

Their role has expanded from providing business intelligence to management, to ensuring high-quality data is accessible and useful across the enterprise. In other words, they must ensure that data strategy aligns to business strategy. Building the foundation: data architecture.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

AWS Big Data

AUGUST 1, 2024

Success criteria alignment by all stakeholders (producers, consumers, operators, auditors) is key for successful transition to a new Amazon Redshift modern data architecture. The success criteria are the key performance indicators (KPIs) for each component of the data workflow.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

IBM Big Data Hub

FEBRUARY 9, 2023

Realize that a data governance program cannot exist on its own – it must solve business problems and deliver outcomes. Start by identifying business objectives, desired outcomes, key stakeholders, and the data needed to deliver these objectives. Don’t try to do everything at once!

Data Governance 76

Data Governance Business Objectives Data Quality Measurement 76

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Lakehouse provides an open data architecture that reduces data silos and unifies data across Amazon Simple Storage Service (Amazon S3) data lakes, Redshift data warehouses, and third-party and federated data sources.

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

BI-Survey

NOVEMBER 23, 2021

The transactional data was stored in isolated data sets and initially served only one purpose, namely, to document the transaction that had taken place. Over time, enterprises realized that data is worth more. Thus, alternative data architecture concepts have emerged, such as the data lake and the data lakehouse.

Digital Transformation 52

Digital Transformation Data Warehouse Data Lake Data-driven 52

Alation

MAY 31, 2023

This means that specialized roles such as data architects, which focus on modernizing data architecture to help meet business goals, are increasingly important to support data governance. What is a data architect? Their broad range of responsibilities include: Design and implement data architecture.

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

Peter James Thomas

JANUARY 8, 2020

The recently launched Data Strategy Review Service is just one example. If you find the articles published on this site interesting and relevant to your work, then perhaps – like Neal Analytics – you would consider commissioning us to write a White Paper or some other document.

Consulting 61

Consulting Data-driven Publishing Data Strategy 61

TDAN

MAY 31, 2022

One very influential factor that can potentially undermine your data and document strategies is the natural and emotional reactions of people when things change. It is common to take great care in the selection and implementation of new technology.

Testing 52

Testing Interactive Strategy Software 52

Alation

OCTOBER 12, 2021

.” Gilbert further breaks down the data challenges Cbus faced, saying: “[Another] challenge was around understanding the data. We might have found some data but what does it mean? There was a lack of documentation and a very heavy reliance on IT and business SMEs. Evaluate and monitor data quality.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

Alation

DECEMBER 22, 2022

My source reported that there were some heated exchanges when the sleigh routing team started requesting data lineage for the naughty and nice lists and the wood toy assembly line started pulling in real-time local weather data to monitor wood supplies. We’re here to spread joy – not data! ” Santa’s Data Mesh Journey.

Dashboards 52

Dashboards Manufacturing Data Architecture Reporting 52

Peter James Thomas

MARCH 23, 2020

In my last article, Data Strategy Creation – A Roadmap , I hopefully gave some sense of the complexities involved in developing a commercially focussed Data Strategy. I had successfully developed and then executed a Data Strategy for the European operations of a leading Global General Insurer.

Data Strategy 89

Data Strategy Strategy Insurance Interactive 89

AWS Big Data

APRIL 29, 2025

While enabling organization-wide efficiency, the team also applied these principles to the data architecture, making sure that CLEA itself operates frugally. After evaluating various tools, we built a serverless data transformation pipeline using Amazon Athena and dbt. However, our initial data architecture led to challenges.

Data Transformation 54

Data Transformation Cost-Benefit Testing Data Lake 54