Wayne Yaddow

FEBRUARY 18, 2025

Selecting the strategies and tools for validating data transformations and data conversions in your data pipelines. Introduction Data transformations and data conversions are crucial to ensure that raw data is organized, processed, and ready for useful analysis.

Testing 52

Testing Data Transformation Data-driven Data Quality 52

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

Alation

OCTOBER 26, 2021

Today’s best-performing organizations embrace data for strategic decision-making. Because of the criticality of the data they deal with, we think that finance teams should lead the enterprise adoption of data and analytics solutions. Recent articles extol the benefits of supercharging analytics for finance departments 1.

Finance 52

Finance Data Transformation Enterprise Metrics 52

TDAN

FEBRUARY 21, 2024

In a world increasingly dominated by data, organizations are grappling with the need to effectively manage and harness this valuable asset. At the same time, the data management […]

Data Transformation 59

Data Transformation Digital Transformation Data-driven Management 59

Sisense

AUGUST 28, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. What is data integrity? Data integrity risks.

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

AWS Big Data

APRIL 19, 2023

Data mesh is a new approach to data management. Companies across industries are using a data mesh to decentralize data management to improve data agility and get value from data. This is especially true in a large enterprise with thousands of data products.

Technology 105

Technology Data-driven Machine Learning Sales 105

Cloudera

JUNE 30, 2022

We are excited to announce the general availability of Apache Iceberg in Cloudera Data Platform (CDP). These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. Why integrate Apache Iceberg with Cloudera Data Platform?

Data Lake 88

Data Lake Data Warehouse Data Architecture Metadata 88

Cloudera

JUNE 1, 2021

This means we can double down on our strategy – continuing to win the Hybrid Data Cloud battle in the IT department AND building new, easy-to-use cloud solutions for the line of business. It also means we can complete our business transformation with the systems, processes and people that support a new operating model. .

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

Sisense

DECEMBER 12, 2019

This is a summary article. Building a data-driven business includes choosing the right software and implementing best practices around its use. Every year when budget time rolls around, many organizations find themselves asking the same question: “what are we going to do about our data?” Organizations have too much data.

Business Intelligence 88

Business Intelligence Software Data-driven Visualization 88

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. Harnessing the power of advanced APIs, automation, and AI, these tools simplify data compilation, organization, and visualization, empowering users to extract actionable insights effortlessly.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. A read-optimized platform that can integrate data from multiple applications emerged. In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. It is too expensive.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Anmut

MARCH 24, 2022

A closer look at the importance (and transformational value) of your organisation’s data landscape. After decades in the background, data is currently king of the business world. Over 70% of digital transformations fail, and most CDOs last less than two-and-half years. What is a data landscape?

ROI 52

ROI Measurement Data-driven Data Transformation 52

Alation

JANUARY 17, 2023

Chances are, you’ve heard of the term “modern data stack” before. In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? It is known to have benefits in handling data due to its robustness, speed, and scalability.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52

Anmut

APRIL 6, 2022

There’s a clear consensus in today’s business world: data is extremely valuable. Report after report validates this claim, with research showing that data-driven companies consistently outperform competitors by as much as 85% in sales growth , gross margin , operating margins, and other key financial performance indicators.

Cost-Benefit 52

Cost-Benefit ROI Sales Data-driven 52

Peter James Thomas

OCTOBER 30, 2018

Where they have, I have normally found the people holding these roles to be better informed about data matters than their peers. This article is not about Marketing professionals, it is about poorly researched journalism. Both of these people: […] come at data as people with backgrounds in its use in marketing.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

FineReport

APRIL 21, 2024

In today’s data-driven landscape, businesses are constantly seeking innovative solutions to harness the power of analytics effectively. Embedded BI tools have emerged as a transformative force, seamlessly integrating analytical capabilities directly into existing software applications.

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

Domino Data Lab

AUGUST 20, 2019

Many thanks to AWP Pearson for the permission to excerpt “Manual Feature Engineering: Manipulating Data for Fun and Profit” from the book, Machine Learning with Python for Everyone by Mark E. Feature engineering is useful for data scientists when assessing tradeoff decisions regarding the impact of their ML models.

Testing 68

Testing Modeling Interactive Measurement 68

CIO Business Intelligence

AUGUST 7, 2024

Its AI/ML-driven predictive analysis enhanced proactive threat hunting and phishing investigations as well as automated case management for swift threat identification. Options included hosting a secondary data center, outsourcing business continuity to a vendor, and establishing private cloud solutions.

IT 119

IT Insurance Cost-Benefit Testing 119

Jet Global

MAY 1, 2023

By leveraging data analysis to solve high-value business problems, they will become more efficient. This is in contrast to traditional BI, which extracts insight from data outside of the app. that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

AWS Big Data

APRIL 28, 2025

Many organizations turn to data lakes for the flexibility and scale needed to manage large volumes of structured and unstructured data. Recently, NI embarked on a journey to transition their legacy data lake from Apache Hive to Apache Iceberg. Silver layer : Contains cleaned and enriched data, processed using Apache Flink.

Data Lake 67

Data Lake Metadata Cost-Benefit Snapshot 67

CIO Business Intelligence

JANUARY 24, 2024

This article was co-authored by Shail Khiyara, Founder, VOCAL COUNCIL, and Pedro Martins, Global Transformation Leader, Nokia. Separation of concerns : Each layer focuses on a specific function, such as presentation logic, business logic, or data storage. GUI, dashboarding software, and data visualization technologies.

IoT 118

IoT Machine Learning Internet of Things Optimization 118