Cloudera

SEPTEMBER 22, 2022

Utilizing a variety of data sources creates a more accurate picture of risks. This approach does not by definition mean that we need great quantities of data sources, just that we need the right ones. For example, alternative data sources such as fitness trackers offer lifestyle indicators.

Analytics 101

Analytics Insurance IoT Risk 101

AWS Big Data

MAY 16, 2023

In this series of posts, we walk you through how we use Amazon QuickSight , a serverless, fully managed, business intelligence (BI) service that enables data-driven decision making at scale. Solution overview The following highly simplified architectural diagram illustrates the smart sensor data collection and processing.

Dashboards 76

Dashboards Statistics Data Collection Business Intelligence 76

FineReport

AUGUST 17, 2021

Are you still using the traditional cumbersome and redundant data collection methods? Have you ever neglected key indicators because of irrelevant data in your decision-making? Digital dashboard: definition & benefits. Definition. Have you ever experienced the inability to deal with messy numbers?

Dashboards 52

Dashboards Cost-Benefit Key Performance Indicator Sales 52

Smart Data Collective

APRIL 22, 2020

Number and frequency of interactions with others. Researchers in the Netherlands are hard at work studying data related to these risk factors so the medical community has better models for predicting COVID-19 spread and other diseases. This process is known as drug-target interaction (DTI) prediction. Social and hygiene habits.

Big Data 111

Big Data Machine Learning Risk Interactive 111

datapine

OCTOBER 14, 2020

Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. That’s why we welcome you to the world of interactive dashboards. But before we delve into the bits and pieces of our topic, let’s answer the basic questions: What is an interactive dashboard, and why you need one?

Dashboards 235

Dashboards Interactive Reporting KPI 235

FineReport

MARCH 7, 2024

As we explore examples of data analysis reports and interactive report data analysis dashboards, we embark on a journey to unravel the nuanced art of transforming raw data into meaningful narratives that empower decision-makers. User Analysis If we delve into the core of big data analysis, it lies in user analysis.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

O'Reilly on Data

JUNE 18, 2019

Data programming. Increasing the quality of the available data via either unification or cleaning, or both, is definitely an important and a promising way forward to leverage enterprise data assets. Ihab Ilyas on “Why data preparation frameworks rely on human-in-the-loop systems”.

Machine Learning 264

Machine Learning Data Quality Statistics Modeling 264

O'Reilly on Data

NOVEMBER 13, 2018

We’re starting to see tools that allow you to build models while guaranteeing differential privacy , one of the most popular and powerful definitions of privacy. These emerging sets of tools aim to be accessible to data scientists who are already using libraries such as scikit-learn and TensorFlow.

Machine Learning 224

Machine Learning Risk Management Statistics 224

Sisense

SEPTEMBER 3, 2020

Overall, however, what often characterizes them is a focus on data collection, manipulation, and analysis, using standard formulas and methods, and acting as gatekeepers of an organization’s data. Data analysts might report to a CIO, a Chief Data Officer (CDO), or possibly to a data scientist or business analyst team leader.

Statistics 97

Statistics Metrics Visualization Finance 97

IBM Big Data Hub

JULY 26, 2023

In this blog post, we will delve into the concept of zero-based budgeting, exploring its definition, advantages, disadvantages, implementation steps, and tools needed. Adequate planning, data collection, and stakeholder involvement are crucial for a successful implementation.

Cost-Benefit 56

Cost-Benefit Optimization Visualization Data-driven 56

IBM Big Data Hub

SEPTEMBER 6, 2023

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. Here are some key definitions, benefits, use cases and finally a step-by-step guide for integrating AI into your next marketing campaign. What is AI marketing?

Marketing 78

Marketing Technology Advertising ROI 78

FineReport

MARCH 29, 2023

Introduction to Qlik Sense Qlik Sense is an interactive BI product released by QlikTech in 2014. For example, the script editor and data definition will pop up in separate tabs instead of being integrated on the same page. Mobile BI Qlik Sense supports iOS and Android, with good adaptability.

Reporting 52

Reporting Visualization Dashboards Enterprise 52

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Data enrichment using Lambda Data enrichment in this pattern is facilitated through the invocation of a Lambda function.

Analytics 92

Analytics IoT Metadata Internet of Things 92

Ontotext

APRIL 4, 2019

We apply Artificial Intelligence techniques to understand the value locked in this data so we can extract knowledge that can benefit people. Milena Yankova : There are two definitions of Artificial Intelligence. One area where computers will definitely not replace us is our creativity. But that doesn’t worry me too much.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

datapine

SEPTEMBER 1, 2020

An effective modern means of extracting real value from your research results such as brand analysis, market research reports present and arrange data in a way that is digestible and logical in equal measures through professional online reporting software and tools.

Reporting 247

Reporting Marketing KPI Dashboards 247

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Because they find interaction with others rewarding and compelling. Online, offline or nonline. Yet this structure rarely exists in companies.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Occam's Razor

MARCH 30, 2017

Let me share a simple definition that helps me understand each phrase. We are needed today because data collection is hard. Most humans employed by companies were unable to access data – not intelligent enough or trained enough or simply time pressures. AI is an intelligent machine. There won’t be any need for them.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Domino Data Lab

JULY 22, 2019

There’s a really nice comfortable blend here of what’s important in business, in engineering, in data science, etc. I definitely want to provide some shout-outs. In data science, definitely, there are other people who’ve talked more about that and we’ll point to them. It doesn’t work.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Occam's Razor

OCTOBER 14, 2014

I can't think of a better way to identify which content we create (pages, videos, interactive quizzes, comparison charts, op ed articles, flash magic thingies) is adding the most value… Again, same strategy. Just skip the we can give you data and benchmarks on performance bits. Use the data to create your own benchmarks.

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

FineReport

JULY 4, 2023

In this article, we will explore the concept of KPI tracking, its definition, its importance for businesses, and how to perform KPI tracking. Monitoring key performance indicators (KPIs) using modern KPI software is a definitive method to monitor your most relevant KPIs and achieve increased success. What Is KPI Tracking?

KPI 52

KPI Key Performance Indicator Dashboards Sales 52

FineReport

JUNE 24, 2021

However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming. Once the data becomes more extensive or more complex, Excel or other simple solutions may “fetter” your potentialities.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Occam's Razor

JUNE 6, 2007

Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. The book, like this blog, rips up that definition and provides a expanded and more realistic business focused world view. Bonus: Interactive CD.

Analytics 60

Analytics Metrics Marketing Dashboards 60

datapine

NOVEMBER 19, 2019

The first in our definitive rundown of tech buzzwords 2020 is computer vision. To explain this most essential of 2020 buzzwords: connected retail is the seamless bridge between physical and digital retail, creating a connected, cloud-based ecosystem for enhanced consumer experience and advanced data collection. Computer Vision.

Technology 279

Technology Internet of Things IT IoT 279

bridgei2i

JANUARY 25, 2022

In this episode of the AI to Impact Podcast, host Shivalika interacts with Kishore Kumar, Technical Lead & Senior AI Solutions architect at BRIDGEi2i, to know all about how MLOps is transforming the landscape for data scientists and engineers alike. Shivalika: Yeah, I’m definitely not letting you touch JIRA for today!

Machine Learning 52

Machine Learning Modeling Data Processing Enterprise 52

datapine

JUNE 4, 2020

To put things into perspective, we will focus on CTO dashboards and reports, beginning with the definitions, continuing with an example that you can use for your own business requirements, and finish with the most prominent benefits these dashboards and reports deliver to chief technologists. Focus on the goal and audience.

Dashboards 130

Dashboards Reporting Metrics Visualization 130

datapine

APRIL 11, 2019

Moreover, we will offer dashboard storytelling tips and tricks that will help you make your data-driven narrative-building efforts as potent as possible, driving your business into exciting new dimensions. But let’s start with a simple definition. Create an interactive dialogue. We come with it.” – Margaret Atwood.

Dashboards 169

Dashboards Visualization Data-driven Key Performance Indicator 169

Occam's Razor

OCTOBER 15, 2012

It is a repository of global data that has as its primary purpose to quantify the role of digital in the consumer journey from research to purchase. Note: The IAB (Interactive Advertising Bureau) and Google both benefit in their own way from the use of digital platforms. Or visit TNS Digital Lifestyles.

Advertising 136

Advertising Marketing Strategy Insurance 136

FineReport

JUNE 24, 2022

Definition of Analysis Report s. However, sometimes we may find some inconveniences in the process of data collection and data visualization. Step 5: Utilize Interactive Effects and Preview Your Analysis Report. On the other hand, the readers can also benefit from the interactive analysis.

Reporting 52

Reporting IT Sales Recreation/Entertainment 52

Domino Data Lab

AUGUST 12, 2021

In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase. We covered the importance of Exploratory Analytics including observing the frequency of missing data and computing interactions of all features. Pandas Profiler.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

AWS Big Data

NOVEMBER 15, 2023

It works as a bundle for resources that are bound to a specific staging environment and Region to store data on Amazon Simple Storage Service (Amazon S3), which is renowned for its industry-leading scalability, data availability, security, and performance. Data providers and consumers are the two fundamental users of a CDH dataset.

Dashboards 93

Dashboards Analytics Metadata Data Warehouse 93

Cloudera

JANUARY 11, 2021

Interactive demo sessions and live Q&A are what we all need these days when working remotely from home is now a norm. The ability to filter, select, and triage the data before sending it to a destination. NiFi is like the mailman who delivers the data to the mailbox or a different destination.

Data Processing 62

Data Processing Interactive ROI Data Warehouse 62

Domino Data Lab

MAY 8, 2019

In contrast, some researchers who are exploring the definitions, possibilities, and limitations of model interpretation point toward more comprehensive views. For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. . Let’s look through some antidotes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Alation

FEBRUARY 20, 2020

More than any other advancement in analytic systems over the last 10 years, Hadoop has disrupted data ecosystems. By dramatically lowering the cost of storing data for analysis, it ushered in an era of massive data collection.

Data Lake 52

Data Lake Metadata Structured Data Big Data 52

IBM Big Data Hub

JANUARY 10, 2023

This provides a cost-effective data analysis solution for clients that have frequently accessed data that they wish to combine with older, less frequently accessed data. Any data from June 2003 up until the most recent month of data available can be selected. The data definition.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

datapine

JUNE 13, 2019

In this post, we will outline the definition and examples of Daily Sales Reports , followed by Weekly Sales Reports , and finishing with Monthly Sales Reports and templates you can use for your reporting practice (click on the link to jump directly to the relevant part of the article). Graphs and charts to visualize all the data collected.

Sales 264

Sales Reporting KPI B2B 264

Alation

JANUARY 17, 2023

Data would be pulled from various sources, organized into, say, a table, and loaded into a data warehouse for mass consumption. This was not only time-consuming, but the growing popularity of cloud data warehouses compelled people to rethink this process. If your organization is large, you definitely need to look for robustness.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Occam's Razor

MAY 27, 2015

Along the way, rather than over-indexing on a data obsession before everything, use data as an aid to keep getting smarter. Perhaps it is best to think of it as a data-with business success first strategy. Please don't have a data-first strategy. Definitely buy my data books! :). And innovation.

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153