Cloudera

MAY 9, 2019

The number one challenge that enterprises struggle with their IoT implementation is not being able to measure if they are successful or not with it. Even if they complete it, they lack the ability to identify and correlate the success metrics with key business goals. Each metric is associated with one or more questions.

IoT 53

IoT Modeling Metrics Measurement 53

Smart Data Collective

DECEMBER 17, 2021

The process of Marketing Analytics consists of data collection, data analysis, and action plan development. Understanding your marketing data to make more informed and successful marketing strategy decisions is a systematic process. Types of Data Used in Marketing Analytics. Preparing the Data for Analysis.

Marketing Analytics 96

Marketing Analytics Marketing Data-driven Analytics 96

O'Reilly on Data

NOVEMBER 13, 2018

Considerations for a world where ML models are becoming mission critical. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations.

Machine Learning 220

Machine Learning Risk Management Statistics 220

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 132

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 132

CIO Business Intelligence

JUNE 5, 2023

These measures will drive decarbonization across the value chain and give CIOs the opportunity to leverage their expertise and build resiliency throughout their organizations. This opportunity to collaborate with sustainability in mind extends to the influence CIOs hold over where and how employees work.

Software 104

Software Measurement Visualization Business Objectives 104

CIO Business Intelligence

APRIL 14, 2022

The ability to provide transparent, data-driven insights and measure progress toward ESG commitments makes the technology leader critical to the success of any ESG strategy. Smarter operations through integrated data and analytics. For example, a client in the oil and gas sector recently equipped their U.S.

Strategy 111

Strategy Digital Transformation IoT Measurement 111

Insight

MARCH 12, 2020

The AIgent was built with BERT, Google’s state-of-the-art language model. In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Data Collection The AIgent leverages book synopses and book metadata. Instead, I built the AIgent. features) and metadata (i.e.

Modeling 59

Modeling Metadata Publishing Sales 59

IBM Big Data Hub

FEBRUARY 23, 2024

DL models can improve over time through further training and exposure to more data. When a user sends a message, the system uses NLP to parse and understand the input, often by using DL models to grasp the nuances and intent. Marketing and sales: Conversational AI has become an invaluable tool for data collection.

Enterprise 104

Enterprise Interactive Data-driven Key Performance Indicator 104

datapine

JANUARY 6, 2022

Yet, before any serious data interpretation inquiry can begin, it should be understood that visual presentations of data findings are irrelevant unless a sound decision is made regarding scales of measurement. For a more in-depth review of scales of measurement, read our article on data analysis questions.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

FineReport

MAY 31, 2023

Financial Performance Dashboard The financial performance dashboard provides a comprehensive overview of key metrics related to your balance sheet, shedding light on the efficiency of your capital expenditure.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Smart Data Collective

SEPTEMBER 4, 2020

Google has shown how to use big data effectively for decision-making , but many other companies don’t understand the principles to follow. Far too many businesses fail to develop a sensible data strategy, so their ROI from their data collection methodologies is often subpar. Guide to Creating a Big Data Strategy.

Data-driven 88

Data-driven Big Data Metrics Strategy 88

CIO Business Intelligence

MAY 16, 2023

AI Opportunities Generative AI is the basis for sophisticated AI models such as ChatGPT and Dall-E. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data. This helps to ensure accuracy and neutrality.

Advertising 95

Advertising Recreation/Entertainment Experimentation Enterprise 95

The Unofficial Google Data Science Blog

OCTOBER 31, 2016

By PATRICK RILEY For a number of years, I led the data science team for Google Search logs. We were often asked to make sense of confusing results, measure new phenomena from logged behavior, validate analyses done by others, and interpret metrics of user behavior. Something like histograms, CDFs, Q-Q plots, etc.

Metrics 107

Metrics Measurement Statistics Data Collection 107

FineReport

MARCH 7, 2024

Data Acquisition I categorize data sources into three types: (1) First-party data: User factual data, such as financial products purchased at a certain institution, time of purchase, issuing branch, name, phone number, or operational data, such as user behavioral data on a financial app. (2)

Dashboards 52

Dashboards Reporting Advertising Statistics 52

IBM Big Data Hub

FEBRUARY 7, 2024

2 For example, some are turning to software solutions that can more easily capture, manage and report ESG data. Circular economy: When waste is a resource Waste not, want not: the circular economy model, which aims to minimize unnecessary waste and make the most of resources, is booming. trillion in economic benefits by 2030.

Reporting 97

Reporting Cost-Benefit Internet of Things Data-driven 97

CIO Business Intelligence

FEBRUARY 13, 2023

Measure performance of the current process by establishing a data collection plan to determine defects and gather metrics. At this stage, it’s important to establish performance baselines, future goals, and how performance will be measured.

Management 83

Management Statistics Manufacturing Measurement 83

Sisense

SEPTEMBER 3, 2020

Data Scientist. Data scientists usually build models for data-driven decisions asking challenging questions that only complex calculations can try to answer and creating new solutions where necessary. While salaries for data analysts are often reasonably high, salaries for data scientists may be higher still.

Statistics 97

Statistics Metrics Visualization Finance 97

Smarten

NOVEMBER 22, 2019

Data literacy focuses on encouraging and nurturing data competencies and making your team members comfortable with the use of analytical tools, technology solutions and data comprehension and presentation, including a comfort level with data collection and analysis, data sharing and data-driven business decisions.

Predictive Modeling 67

Predictive Modeling Data-driven Forecasting Visualization 67

Jet Global

SEPTEMBER 29, 2021

How Finance Leaders Use Data to Support Decision-Making. Data-driven Finance leaders use metrics to look at what the business should do next, rather than only look back at how well they performed in the past. In response to changing circumstances, real-time data is used to understand variances and isolate issues.

Data-driven 52

Data-driven Finance Data Collection Metrics 52

Occam's Razor

OCTOBER 14, 2014

[See step four in the process for creating your Digital Marketing and Measurement Model.]. should be 1,356,000), you've set a clear line in the sand as to what performance will be declared a success or a failure at the end of the measurement time period. So how can you use your own data? See Page 269. :).

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

BizAcuity

FEBRUARY 22, 2019

Financial Analytics combines the internal financial information and operational data with external information such as social media, demographics and big data thereby addressing critical business questions with unprecedented speed, ease and accuracy. Financial Analytics in Event Management Industry – A summary.

Analytics 75

Analytics Cost-Benefit Finance Sales 75

IBM Big Data Hub

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning. How the models are stored.

Data Science 56

Data Science Machine Learning Cost-Benefit Deep Learning 56

Juice Analytics

MARCH 30, 2021

Processes encourage the sharing of insights and collaboration between producers and audiences, as well as ensure data hygiene and quality throughout. (4) 4) Data Fluent Culture As your company develops more data consumers and producers, the data fluent culture will develop and flourish.

Cost-Benefit 131

Cost-Benefit Statistics Metrics Dashboards 131

The Unofficial Google Data Science Blog

JULY 18, 2023

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Overview Human-labeled data is ubiquitous in business and science, and platforms for obtaining data from people have become increasingly common. And for thousands of years, measurement was as simple as this.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

IBM Big Data Hub

AUGUST 7, 2023

Tackling complexities in clinical trial site selection: A playground for a new technology and AI operating model Enrollment strategists and site performance analysts are responsible for constructing and prioritizing robust end-to-end enrollment strategies tailored to specific trials. To do so they require data, which is in no shortage.

Optimization 58

Optimization Forecasting Data-driven Strategy 58

Occam's Razor

JANUARY 12, 2015

At the core of everything you will do in digital analytics is the concept of metrics. How do you define a metric: It is simply a number. Your digital analytics tools are full of metrics. Helpful post: Best Metrics For Digital Marketing: Rock Your Own And Rent Strategies.]. Now you have your foundation, metrics and KPIs.

Analytics 150

Analytics Slice and Dice KPI Metrics 150

Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Jet Global

AUGUST 14, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. So how is the data extracted? By using Structured Query Language, or SQL, the language used to manipulate and extract data stored in cubes.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

FineReport

APRIL 9, 2021

However, companies operation generates numerous and complicated data every day, beyond traditional manual reporting capacity. The underlying idea is to find the differences between goals and actual results by comparing corresponding metrics. Profit analysis: measure the company’s operating profit and profit distribution.

Reporting 98

Reporting Finance Dashboards Enterprise 98

Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

IBM Big Data Hub

MARCH 29, 2024

OpenTelemetry and Prometheus enable the collection and transformation of metrics, which allows DevOps and IT teams to generate and act on performance insights. OTel was born from the merger of OpenCensus and OpenTracing with the goal of providing APIs, SDKs, libraries and integrations that standardize the collection of disparate data.

Metrics 81

Metrics Visualization Measurement Optimization 81

Occam's Razor

APRIL 13, 2015

Having this data integrated into your site analytics behavior data means that you don't have to guess which of these groups/segments are more or less valuable. I also don't like the slew of metrics thrown at us in the standard report, hence I switch to the Comparison view and just pick the two metrics I want.

Analytics 155

Analytics Reporting Metrics Slice and Dice 155

Jet Global

OCTOBER 2, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. So how is the data extracted? By using Structured Query Language, or SQL, the language used to manipulate and extract data stored in cubes.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Jet Global

MAY 15, 2020

A financial Key Performance Indicator (KPI) or metric is a quantifiable measure that a company uses to gauge its financial performance over time. Under modern day reporting standards, companies are formally obligated to present their financial data in the following statements: balance sheet, income statement, and cash flow statement.

Metrics 98

Metrics Finance Reporting KPI 98

Occam's Razor

JULY 18, 2011

The only requirement is that your mental model (and indeed, company culture) should be solidly rooted in permission marketing. You just have to have the right mental model (see Seth Godin above) and you have to… wait for it… wait for it… measure everything you do! Just to ensure you are executing against your right mental model.

Metrics 137

Metrics Marketing Measurement Cost-Benefit 137

Occam's Razor

APRIL 15, 2019

Sadly still, negative data to the person/team receiving it. A decade ago, data people delivered a lot less bad news because so little could be measured with any degree of confidence. In 2019, we can measure the crap out of so much. You know my Care-Do-Impact model for analysis and storytelling. Why be hurtin’?

Measurement 79

Measurement Strategy Data Processing Uncertainty 79

Occam's Razor

SEPTEMBER 15, 2014

But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement. Create a distinct mobile website and mobile app measurement strategies. Media-Mix Modeling/Experimentation. Framing the Opportunity. Tag your mobile website.

Metrics 141

Metrics Reporting Analytics Marketing 141