Smart Data Collective

JULY 25, 2019

A lot of the emphasis so far has been on the use of big data to better engage with external third-parties, but big data can be equally valuable for managing internal hospital systems. Big Data is the Key to Improving the Efficiency of Hospital Management Systems? This may not sound like a massive increase in the value of a $2.8

Big Data 110

Big Data Data Transformation Management Software 110

Rocket-Powered Data Science

MARCH 20, 2023

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Datasphere is a data discovery tool with essential functionalities: recommendations, data marketplace, and business content (i.e.,

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

Wayne Yaddow

FEBRUARY 4, 2025

Its EssentialVerifying Data Transformations (Part4) Uncovering the leading problems in data transformation workflowsand practical ways to detect and preventthem In Parts 13 of this series of blogs, categories of data transformations were identified as among the top causes of data quality defects in data pipeline workflows.

Data Transformation 52

Data Transformation Testing Data Quality Strategy 52

Wayne Yaddow

FEBRUARY 21, 2025

Complex Data TransformationsTest Planning Best Practices Ensuring data accuracy with structured testing and best practices Photo by Taylor Vick on Unsplash Introduction Data transformations and conversions are crucial for data pipelines, enabling organizations to process, integrate, and refine raw data into meaningful insights.

Testing 52

Testing Data Transformation Data Quality Data Integration 52

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

Peter James Thomas

MAY 10, 2019

The title of this article is borrowed from a piece published by recruitment consultants La Fosse Associates earlier in the year. Click here to view the full article in a new tab. I am not going to rehash the piece here, instead please read the full article on La Fosse’s site.

Data Transformation 50

Data Transformation Consulting Publishing Management 50

O'Reilly on Data

OCTOBER 19, 2021

In this article, we want to dig deeper into the fundamentals of machine learning as an engineering discipline and outline answers to key questions: Why does ML need special treatment in the first place? However, the concept is quite abstract. Model Development.

IT 363

IT Testing Experimentation Software 363

TDAN

AUGUST 15, 2023

Nearly every data leader I talk to is in the midst of a data transformation. As businesses look for ways to increase sales, improve customer experience, and stay ahead of the competition, they are realizing that data is their competitive advantage and the key to achieving their goals. And it’s no surprise, really.

Data Transformation 52

Data Transformation Sales Metadata Data Governance 52

datapine

SEPTEMBER 29, 2022

Engineered to be the “Swiss Army Knife” of data development, these processes prepare your organization to face the challenges of digital age data, wherever and whenever they appear. Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Alation

OCTOBER 26, 2021

And while some might see finance as the most conservative department in an enterprise, we believe that they can become innovators, driving how their business consumes and uses data. Recent articles extol the benefits of supercharging analytics for finance departments 1. Building a Data Culture Within a Finance Department.

Finance 52

Finance Data Transformation Enterprise Metrics 52

CIO Business Intelligence

APRIL 8, 2025

These issues dont just hinder next-gen analytics and AI; they erode trust, delay transformation and diminish business value. Data quality is no longer a back-office concern. In this article, I am drawing from firsthand experience working with CIOs, CDOs, CTOs and transformation leaders across industries. federal agencies.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

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.

Data Transformation 59

Data Transformation Digital Transformation Data-driven Management 59

TDAN

MARCH 16, 2021

Taking Stock A year ago, organisations of all sizes around the world were catapulted into a cycle of digital and data transformation that saw many industries achieve in a matter of weeks in what would otherwise have taken many years to achieve. Small businesses pivoted to doing business online in a way that they might […].

Data Transformation 98

Data Transformation Risk Management Risk Data Governance 98

TDAN

JUNE 15, 2021

We have seen an impressive amount of hype and hoopla about “data as an asset” over the past few years. And one of the side effects of the COVID-19 pandemic has been an acceleration of data transformation in organisations of all sizes.

Data Transformation 98

Data Transformation Management Risk Management Risk 98

datapine

MAY 2, 2023

The future is bright for logistics companies that are willing to take advantage of big data. In this article, we’re going to examine examples and benefits of big data in logistics industry to fuel your imagination and get you thinking outside of the box. Use our 14-days free trial today & transform your supply chain!

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

Smart Data Collective

AUGUST 14, 2019

CIO reports that big data has helped the gaming industry increase its revenue to $40.6 How Is Big Data Transforming Digital Gaming? Big Data Made Simple wrote a great article on the applications of big data in virtual reality technology. continue to spearhead this revolution too!

Big Data 92

Big Data Technology Recreation/Entertainment Machine Learning 92

Sisense

AUGUST 28, 2020

Keeping data quality high ensures that the insights your end-users pull are aligned with reality and can help them (and the company at large) make smarter, d ata-driven decisions , as well as pipe quality information to customer-facing apps. . What is data integrity? Process-driven data integrity: Getting data generation right.

Data Integration 101

Data Integration Testing Data Quality Data-driven 101

Cloudera

JUNE 1, 2021

And, the Enterprise Data Cloud category we invented is also growing. In fact, recent articles by Patrick Moorhead , Mike Feibus , and many others represent a clear trend toward integrated data platforms. Said simply, Datacoral offers a fully-managed service for worry-free data integrations.

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

Cloudera

JUNE 30, 2022

These tools empower analysts and data scientists to easily collaborate on the same data, with their choice of tools and analytic engines. No more lock-in, unnecessary data transformations, or data movement across tools and clouds just to extract insights out of the data.

Data Lake 88

Data Lake Data Warehouse Data Architecture Metadata 88

Peter James Thomas

MARCH 9, 2020

I last wrote about the process of creating a Data Strategy back in 2014 and – with the many changes that the field has seen since then – am overdue publishing an update, so watch this space. I’ll be covering this area in greater detail in the forthcoming article I mentioned in the introductory paragraph. [3].

Measurement 67

Measurement Data Strategy Strategy Modeling 67

Sisense

AUGUST 6, 2020

In this article, we’ll dig into the ways AI can help you accomplish these goals, allowing you and your team to envision the future of your product or service. As an AI product manager, here are some important data-related questions you should ask yourself: What is the problem you’re trying to solve? Improving performance with AI.

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

FineReport

MARCH 31, 2024

Harnessing the power of advanced APIs, automation, and AI, these tools simplify data compilation, organization, and visualization, empowering users to extract actionable insights effortlessly. These tools seamlessly connect and consolidate data from diverse sources, ensuring cleanliness, structure, and aggregation of data in various formats.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Smarten

AUGUST 4, 2023

If you want to optimize your analytical results, be sure that the augmented analytics solution you choose has seamless, self-serve data preparation capability. ‘As As you consider augmented analytics solutions, be sure to thoroughly review the features and functionality for data preparation.’

Data Lake 52

Data Lake Machine Learning Data Integration Data Quality 52

Sisense

OCTOBER 15, 2020

Note that during this entire process, the user didn’t need to define anything except data transformations: The processing job is automatically orchestrated, and exactly-once data consistency is guaranteed by the engine. Streaming data analytics is important for businesses to make critical decisions in real time.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

AWS Big Data

APRIL 19, 2023

Joel Farvault is Principal Specialist SA Analytics for AWS with 25 years’ experience working on enterprise architecture, data strategy, and analytics, mainly in the financial services industry. Joel has led data transformation projects on fraud analytics, claims automation, and data governance. His Amazon author page

Technology 93

Technology Data-driven Machine Learning Sales 93

Anmut

MARCH 24, 2022

We could give many answers, but they all centre on the same root cause: most data leaders focus on flashy technology and symptomatic fixes instead of approaching data transformation in a way that addresses the root causes of data problems and leads to tangible results and business success. It doesn’t have to be this way.

ROI 52

ROI Measurement Data-driven Data Transformation 52

Peter James Thomas

OCTOBER 30, 2018

This article is not about Marketing professionals, it is about poorly researched journalism. Prelude… I recently came across an article in Marketing Week with the clickbait-worthy headline of Why the rise of the chief data officer will be short-lived (their choice of capitalisation). …and Fugue.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

Alation

JANUARY 17, 2023

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? The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52

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?” New year, same questions.

Business Intelligence 88

Business Intelligence Software Data-driven Visualization 88

FineReport

MARCH 7, 2024

Data Analysis Report (by FineReport ) Note: All the data analysis reports in this article are created using the FineReport reporting tool. Leveraging the advanced enterprise-level web reporting tool capabilities of FineReport , we empower businesses to achieve genuine data transformation. Try FineReport Now 1.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Anmut

APRIL 6, 2022

Now we’d like to discuss how you can start extracting maximum value from your data by taking a closer look at what data asset management looks like in practice. Data asset management is a holistic approach to managing your data assets. Data transformation is a marathon, not a sprint. Let’s talk.

Cost-Benefit 52

Cost-Benefit ROI Sales Data-driven 52

Data Virtualization

JULY 20, 2023

But there’s a lot of confusion in the marketplace today between different types of architectures, specifically data mesh and data fabric, so I’ll. The post Logical Data Management and Data Mesh appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Management 40

Management Data Integration IT Data Quality 40

Sisense

MAY 11, 2021

According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021! With that much data flowing into analytics systems, the right data model is vital to helping your users derive actionable intelligence from them.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

IBM Big Data Hub

JANUARY 18, 2023

This article endeavors to alleviate those confusions. This adds an additional ETL step, making the data even more stale. Data lakehouse was created to solve these problems. The data warehouse storage layer is removed from lakehouse architectures. While this is encouraging, it is also creating confusion in the market.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

TDAN

DECEMBER 3, 2019

Everyone’s talking about data. Data is the key to unlocking insight— the secret sauce that will help you get predictive, the fuel for business intelligence. The transformative potential in AI? It relies on data. The good news is that data has never […].

Business Intelligence 72

Business Intelligence Dashboards Reporting Data Architecture 72

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

IBM Big Data Hub

JULY 17, 2023

Capabilities within the Prompt Lab include: Summarize: Transform text with domain-specific content into personalized overviews and capture key points (e.g., Streamline data engineering: Reduce data pipelines, simplify data transformation, and enrich data for consumption using SQL, Python, or an AI infused conversational interface.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62