Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. Data decays!

Analytics 86

Analytics Dashboards Statistics Visualization 86

IBM Big Data Hub

FEBRUARY 2, 2022

y/y based on the most recent data available. [1] Even as organizations benefit from AI, IBM is well-aware of the tide of concerns over data privacy and responsible use of technology and remains committed to trust as one of its defining characteristics of AI for business. Explainability. and +46.6% Robustness.

Software 52

Software Marketing Reporting Digital Transformation 52

datapine

FEBRUARY 3, 2022

With the rise of modern self-service BI tools , everyone can monitor relevant performance indicators in a matter of seconds. Having the ability to analyze your data fast and efficiently doesn’t always mean you are doing it correctly. Here we will explain two of them: the SMARTER and the Six A’s methods. click to enlarge**.

Metrics 189

Metrics KPI Key Performance Indicator Sales 189

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Testing 98

Testing Data Warehouse Metrics Cost-Benefit 98

Sisense

NOVEMBER 12, 2020

Data warehouse vs. databases Traditional vs. Cloud Explained Cloud data warehouses in your data stack A data-driven future powered by the cloud. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. And where does all this data live?

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

Ontotext

JANUARY 29, 2024

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. I expect to see the following data and knowledge management trends emerge in 2024. However, organizations need to be aware that these may be nothing more than bolted-on Band-Aids.

Strategy 52

Strategy Management Metadata Data-driven 52

Andrew White

DECEMBER 4, 2019

If you read my blog regularly then you know I rarely write about IT vendors. The only time I have blogged about vendors was to comment on their messages or call out an interesting and contrary observation. This acquisition followed another with Mulesoft, a data integration vendor. That’s the way it is.

Digital Transformation 64

Digital Transformation Data Integration Data Quality Data Warehouse 64

Sisense

APRIL 17, 2020

Money never sleeps and neither does your data. In Monetizing Your Data , we look at digital transformation: the ways of turning data into new revenue streams and apps that boost income, increase stickiness, and help your company thrive in the world of Big Data. Experiment to guide a winning data strategy.

Data Strategy 81

Data Strategy Strategy Digital Transformation Data Warehouse 81

datapine

JUNE 5, 2019

“It is a capital mistake to theorize before one has data.”– Data is all around us. Data has changed our lives in many ways, helping to improve the processes, initiatives, and innovations of organizations across sectors through the power of insight. Let’s kick things off by asking the question: what is a data dashboard?

Dashboards 316

Dashboards KPI Sales Visualization 316

AWS Big Data

APRIL 26, 2023

This is a guest blog post co-written with Corey Johnson from Huron. In addition, these product dashboards may be forked for customer-specific customization to support a consulting engagement while still consuming from Huron’s productized data assets and datasets.

Metadata 52

Metadata Dashboards Visualization Consulting 52

datapine

APRIL 14, 2022

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. However, the usage of data analytics isn’t limited to only these fields. Discover 10.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. On the one hand, basic statistical models (e.g.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

AWS Big Data

JANUARY 22, 2024

The company uses AWS Cloud services to build data-driven products and scale engineering best practices. To ensure a sustainable data platform amid growth and profitability phases, their tech teams adopted a decentralized data mesh architecture. The solution Acast implemented is a data mesh, architected on AWS.

Data-driven 83

Data-driven Advertising Metadata Data Architecture 83

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. IMO, the theme here is to shift more of the deeper aspects of inference – such as explainability, auditability, trust, etc. A Survey Of Methods For Explaining Black Box Models ”. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

IBM Big Data Hub

AUGUST 1, 2023

This explains the existence of both incident and problem management, two important processes for issue and error control, maintaining uptime, and ultimately, delivering a great service to customers and other stakeholders. Organizations increasingly depend on digital technologies to serve their customers and collaborate with partners.

Management 60

Management Key Performance Indicator Software Cost-Benefit 60

Jet Global

SEPTEMBER 29, 2021

The Importance of Data-Driven Finance Leaders. To meet this shift in roles, the new breed of Finance leader is increasingly becoming data-driven, combining quality data drawn from multiple sources to put strategic decisions in context and choose the highest-impact business direction. So, how data-driven is your team?

Data-driven 52

Data-driven Finance Data Collection Metrics 52

Hurwitz & Associates

APRIL 19, 2018

The company focuses on telecommunications, IT consulting services and solutions, data management, customer relationship management and service management. While it is impossible in a blog to explain all the nuances of Atos’s approach to the market, I want to provide some of my observations about this intriguing company.

IT 40

IT Consulting IoT Strategy 40

datapine

MARCH 22, 2019

Here are the 5 essential steps to measure customer satisfaction: Draft your goals and create a plan: You have to decide which customer data is worth collecting and how it will be processed later. Some examples for triggering event data include time since signup for a product, or complete user onboarding.

Metrics 134

Metrics Dashboards Measurement Interactive 134

datapine

SEPTEMBER 1, 2020

Today, there are online data visualization tools that make it easy and fast to build powerful market-centric research dashboards. For instance, I could easily filter the data by choosing only the female answers, or only the people aged between 25 and 34, or only the 25-34 males if that is my target audience.

Reporting 247

Reporting Marketing KPI Dashboards 247

Cloudera

DECEMBER 20, 2023

In this post we’ll give you an overview of these new and expanded partnerships and how we see them fitting into the emerging AI technology stack that supports the AI application lifecycle. We’ll start with the enterprise AI stack. Those models are trained or augmented with data from a data management platform.

Enterprise 71

Enterprise Machine Learning Modeling Data Warehouse 71

IBM Big Data Hub

SEPTEMBER 20, 2023

With the increasing importance of processing data where work is being performed, serving AI models at the enterprise edge enables near-real-time predictions, while abiding by data sovereignty and privacy requirements. First, enterprises produce a vast amount of unlabeled data, only a fraction of which is labeled for AI model training.

Modeling 88

Modeling Enterprise Software Machine Learning 88

DataKitchen

MAY 10, 2021

Data errors impact decision-making. Data errors infringe on work-life balance. Data errors also affect careers. If you have been in the data profession for any length of time, you probably know what it means to face a mob of stakeholders who are angry about inaccurate or late analytics.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Insight

DECEMBER 30, 2019

Wikipedia In our last blog , we walked through a super fast introduction of “vanilla” flavored neural networks. Next, we will explain how each layer works, why they are ordered this way, and how everything comes together to form such a powerful model. We talked about how a vanilla neural net is made up of one or more “hidden” layers.

Visualization 72

Visualization Modeling Machine Learning IT 72

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

datapine

OCTOBER 14, 2020

Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. In essence, in this post, we will explain all the details needed for dashboard reporting and creation, compare interactive vs. static reporting, and provide tips and tricks to make your business perform even better.

Dashboards 235

Dashboards Interactive Reporting KPI 235

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric.

Metadata 52

Metadata IT Metrics Data-driven 52

IBM Big Data Hub

MAY 9, 2023

Unlike traditional ML, where each new use case requires a new model to be designed and built using specific data, foundation models are trained on large amounts of unlabeled data, which can then be adapted to new scenarios and business applications. AI is already driving results for business. Watsonx.ai Watsonx.ai

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that. What is data democratization?

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62