DataKitchen

OCTOBER 5, 2021

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. That’s the state of data analytics today. . Where are the data engineers, scientists and analytics? What is DataOps. A more technical discussion will follow in the next edition of this blog series. Source: Wikipedia.

Testing 157

Testing Dashboards Measurement Experimentation 157

DataKitchen

SEPTEMBER 20, 2021

The pipelines and workflows that ingest data, process it and output charts, dashboards, or other analytics resemble a production pipeline. According to a recent Gartner survey, data teams spend only 22% of their time on “data innovation, data monetization and enhanced analytics insights.” Figure 1 shows the four phases of Lean DataOps.

Testing 246

Testing Metrics Measurement Dashboards 246

DataKitchen

JANUARY 5, 2021

The data teams share a common objective; to create analytics for the (internal or external) customer. Data Visualization, Preparation – Self-service tools sucha as Tableau, Alteryx. Enterprises need to examine their end-to-end data operations and analytics-creation workflow.

Testing 147

Testing Data Governance Metadata Visualization 147

IBM Big Data Hub

FEBRUARY 12, 2024

How we arrived at this CX environment Early days of retail Before mass media, it was harder to know what other products were available outside of the ones offered by the local store. Many customers were limited to the goods and services in their near vicinity. Increasingly organizations expanded what they offered. a mobile app).

Data-driven 100

Data-driven Manufacturing Consulting Advertising 100

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. What should be in that report about your data team? What should I track? Introduction.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

Smarten

DECEMBER 19, 2023

The Right Augmented Analytics Supports Your Team and Your Business! When you embark on an analytics deployment, you want to be sure that you get what you need. When considering a self-serve augmented analytics solution, there are numerous factors to include in your assessment.’ And there is good reason for that.

Analytics 62

Analytics Machine Learning Sales Data Warehouse 62

DataKitchen

APRIL 28, 2021

Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Gartner included data fabrics in their top ten trends for data and analytics in 2019. What is a Data Fabric?

Statistics 246

Statistics Optimization Technology Data Analytics 246

Alation

MARCH 29, 2022

How will moving to true self-service business intelligence — and achieving data democracy — impact your organization? First, data and analytics teams never were comfortable ceding control up to business teams. The Emergence of Self-Service BI. A Short History of Business Intelligence.

Business Intelligence 96

Business Intelligence Reporting Data mining Digital Transformation 96

Cloudera

JUNE 2, 2022

This need has generated a market opportunity for a universal data distribution service. CDF-PC is a cloud native universal data distribution service powered by Apache NiFi on Kubernetes, ??allowing This blog aims to answer two questions: What is a universal data distribution service? What is the modern data stack?

Enterprise 99

Enterprise Data Lake Data Collection Data-driven 99

IBM Big Data Hub

APRIL 18, 2024

A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. Imagine a self-driving car piloted by an AGI. However, these systems lack genuine understanding and can’t adapt to situations outside their training.

Cost-Benefit 88

Cost-Benefit Modeling Manufacturing Interactive 88

Smart Data Collective

SEPTEMBER 7, 2022

Off-site SEO signals, such as backlinks, tell search engines what other internet users think of your site. Data analytics technology has helped companies make the most of their off-page SEO strategies. These analytics algorithms help assess the spam scores and authority of different websites.

Data mining 133

Data mining Strategy Marketing Optimization 133

IBM Big Data Hub

JANUARY 3, 2024

But what about in the world of voice? Purpose-built for customer care use cases like self-service phone assistants and real-time call transcription, our LSM delivers highly advanced transcriptions out-of-the-box to create a seamless customer experience. Enter the world of Large Speech Models, or LSMs. But there’s more.

Modeling 105

Modeling Interactive Metrics Testing 105

datapine

MARCH 31, 2022

3) What Are the First Steps To Getting Started? Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. So, what skills are needed for a business intelligence career? What does a profession in this field look like? Table of Contents. 1) Why Shift To A BI Career?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

datapine

JANUARY 24, 2021

By asking the right questions, utilizing sales analytics software that will enable you to mine, manipulate and manage voluminous sets of data, generating insights will become much easier. In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business.

IT 317

IT Statistics KPI Data-driven 317

IBM Big Data Hub

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. We’re all amazed by what AI can do.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. On April 28, 2017, Mike Olson , as one of the founders of Cloudera, writes about the initial public offering, and what the milestone means. This informative blog outlines how GDPR affects the practice of data science.

Machine Learning 45

Machine Learning IoT Big Data Insurance 45

Smarten

DECEMBER 3, 2023

Adopting Augmented Analytics: How to Get Started Gartner has predicted that, in the future ‘…40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’ What do you want to achieve by implementing an augmented analytics solution?

Analytics 40

Analytics Data Warehouse Metrics Interactive 40

datapine

FEBRUARY 25, 2022

1) What Is A Drill Down? 2) What Is A Drill Through? From automated reporting, predictive analytics, and interactive data visualizations, reporting on data has never been easier. From automated reporting, predictive analytics, and interactive data visualizations, reporting on data has never been easier.

Reporting 173

Reporting Dashboards Visualization Interactive 173

Alation

NOVEMBER 3, 2021

But what IS a data culture ? This is a 2-part blog. In this blog, we will discuss how the right technologies support a self-service analytics environment. In this blog, we will discuss how the right technologies support a self-service analytics environment.

Data-driven 52

Data-driven Metadata Dashboards Technology 52

Alation

MARCH 31, 2022

So I was surprised to learn from my colleague Myles Suer’s blog piece about Self-Service vs. Traditional BI that it was first referenced in 1865. Democratising access to all users is essential to the next chapter of BI: self-service at scale. Modern BI began when “data” became what we consider it to be today.

Business Intelligence 52

Business Intelligence Data-driven Data Warehouse Reporting 52

Cloudera

SEPTEMBER 15, 2021

Whether the task involves self-driving vehicles, online transaction fraud prevention or responding to alerts from health-monitoring devices, there’s no time to waste. Deploying machine learning (ML) and analytics capabilities at the edge is what makes this possible. . Real-time Demands. Fast-changing Data.

IoT 117

IoT Analytics Internet of Things Data Lake 117

IBM Big Data Hub

AUGUST 28, 2023

They published many perennial favorites including Kristin Hannah’s The Nightingale , Bill Martin’s Brown Bear, Brown Bear, what do you see? It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. This contributed to the need for more analytics by our users.

Publishing 52

Publishing Analytics Business Intelligence Operational Reporting 52

IBM Big Data Hub

DECEMBER 14, 2022

She decides to extend her RV rental halfway through her trip, so she calls customer service for assistance, but finds herself waiting minutes, then what feels like hours. Picture this: A traveler sets off on a camping trip. When she finally does get a hold of somebody, her call is redirected. More waiting follows. per contained call.

Cost-Benefit 83

Cost-Benefit Interactive Machine Learning Consulting 83

CIO Business Intelligence

JULY 13, 2022

This need has generated a market opportunity for a universal data distribution service. CDF-PC is a cloud native universal data distribution service powered by Apache NiFi on Kubernetes, ??allowing This blog aims to answer two questions: What is a universal data distribution service? What is the modern data stack?

Enterprise 62

Enterprise Data Lake Data Collection Data-driven 62

Smarten

NOVEMBER 26, 2023

Planning for Adoption of Business Intelligence Without business intelligence, the enterprise does not have an objective understanding of what works, what does not work, and how, when and where to make changes to adapt to the market, its customers and its competition.

Business Intelligence 52

Business Intelligence Software Reporting Technology 52

Sisense

JULY 7, 2020

Over a third of respondents to our State of Analytics and BI survey reported that they are currently focused on growing their use of analytics across their businesses. Over a third of respondents to our State of Analytics and BI survey reported that they are currently focused on growing their use of analytics across their businesses.

Slice and Dice 92

Slice and Dice Data Warehouse Analytics Dashboards 92

IBM Big Data Hub

JANUARY 8, 2024

Self-service access is provided to prevent approval bottlenecks, alongside facilities to retain proper controls over usage. Built on the best open source technologies, each capability emphasizes scalability and designed for flexibility and compatibility with an entire ecosystem for connectivity, analytics, processing and more.

Data-driven 78

Data-driven Management Advertising Enterprise 78

Ontotext

NOVEMBER 16, 2023

It is critical to be aware of the “why” and “what” and fully understand the role that knowledge graphs play when considering adopting a data mesh strategy. The debate on what constitutes a data mesh rages on. Clarifying what data mesh is and how it works is important, but even more so is starting with the why.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

Cloudera

OCTOBER 4, 2022

This blog post will provide guidance to administrators currently using or interested in using Kafka nodes to maintain cluster changes as they scale up or down to balance performance and cloud costs in production deployments. Kafka brokers contained within host groups enable the administrators to more easily add and remove nodes.

Data Processing 77

Data Processing Management Big Data Reporting 77

Sisense

OCTOBER 21, 2020

Data models are the engine that powers every aspect of your company’s data program: You perform advanced analytics on them, product teams power your app’s embedded analytics, and front-line users rely on them for self-service exploration. Picking a direction for your data model. Think like a designer.

Modeling 71

Modeling Data-driven Dashboards Interactive 71

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. So, what does all this mean to your business? Why is augmented analytics an important factor in your success?

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Alation

FEBRUARY 20, 2020

We are entering an era of self-service analytics. What has emerged is a whole new set of market imperatives that are changing the way data users tackle data discovery, leading to an increase in self-service analytics, fueling insights and driving innovation. Subscribe to Alation's Blog.

Data-driven 52

Data-driven Machine Learning Big Data Marketing 52

Smarten

FEBRUARY 8, 2023

Business Use Cases Can Help Users Understand the Value of Augmented Analytics! Gartner predicts that, ‘Through 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.’

Analytics 52

Analytics Advertising Predictive Analytics Optimization 52

IBM Big Data Hub

DECEMBER 18, 2023

Unfortunately, many network admins use this risk potential as a reason to continue using an authoritative DNS service that no longer adds business value. We pride ourselves on our DNS expertise and our hands-on approach to customer service. That’s why we treat it like a de facto migration.

Risk 76

Risk Metrics Optimization Testing 76

Andrew White

SEPTEMBER 23, 2022

I was moved to blog after spotting yet another article on the same topic in Monday’s copy (September 19th, 2022) of the Wall Street Journal. The point being the marketing folks, as an example, know more about what they need than some IT specialist that sits in a central team, remote from that business need. Getting Rid of IT.

IT 59

IT Modeling Finance Technology 59

IBM Big Data Hub

NOVEMBER 30, 2022

She decides to extend her RV rental halfway through her trip, so she calls customer service for assistance, but finds herself waiting minutes, then what feels like hours. Luckily, the AI solutions for customer service available now mean that customer care doesn’t have to be complicated. More waiting follows. per contained call.

Cost-Benefit 52

Cost-Benefit Interactive Machine Learning Consulting 52

Alation

FEBRUARY 20, 2020

REFLECTIONS FROM THE GARTNER BI & ANALYTICS SUMMIT I hate to admit that the last time I attended the Gartner BI & Analytics Summit, Howard Dresner was still the host. For me personally, it was an amazing return this year to the now appropriately re-named, Gartner BI & Analytics Summit held in Grapevine, Texas.

Scorecard 52

Scorecard ROI Data-driven Visualization 52