Smart Data Collective

AUGUST 29, 2020

Remote monitoring includes a wide range of functions, from offsite data collection to key tracking tools and even video-based monitoring, and though some of these tools are invasive, others can help boost productivity. The second key problem with surveillance-based productivity data is that it doesn’t measure the right things.

Measurement 128

Measurement Data-driven Metrics Data Collection 128

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) Agreeing on metrics.

Marketing 362

Marketing Experimentation Metrics Testing 362

IBM Big Data Hub

FEBRUARY 9, 2023

In our last blog , we delved into the seven most prevalent data challenges that can be addressed with effective data governance. Today we will share our approach to developing a data governance program to drive data transformation and fuel a data-driven culture. Don’t try to do everything at once!

Data Governance 83

Data Governance Business Objectives Strategy Data Quality 83

CIO Business Intelligence

MAY 16, 2023

The inherent capabilities of AI–to process vast amounts of data and use learned intelligence to make decisions with extraordinary speed–enable opportunities uncovered through digital listening. Regulation: Lawmakers worldwide are considering privacy legislation and other rules that could limit the scope of data collection and AI use cases.

Advertising 93

Advertising Recreation/Entertainment Experimentation Enterprise 93

IBM Big Data Hub

FEBRUARY 23, 2024

DL models can improve over time through further training and exposure to more data. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends.

Enterprise 103

Enterprise Interactive Data-driven Key Performance Indicator 103

O'Reilly on Data

MARCH 31, 2020

AI products are automated systems that collect and learn from data to make user-facing decisions. All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Why AI software development is different.

Management 332

Management Machine Learning Experimentation Metrics 332

datapine

SEPTEMBER 1, 2020

However, today’s business world still lacks a way to present market-based research results in an efficient manner – the static, antiquated nature of PowerPoint makes it a bad choice in the matter, yet it is still widely used to present results. How To Present Your Results: 3 Market Research Example Dashboards.

Reporting 247

Reporting Marketing KPI Dashboards 247

IBM Big Data Hub

JUNE 8, 2023

These ecosystems play a vital role in sustaining marine life, capturing CO2 and mitigating the effects of global warming, presenting an opportunity to form part of an enterprise’s overall plan to address its sustainability goals and reduce its impact on the environment.

Technology 84

Technology Measurement Cost-Benefit Data-driven 84

Smarten

NOVEMBER 22, 2019

Why is Data Literacy Important? If you have attended technology conferences or read industry publications, you have probably heard the term ‘Data Literacy’. Data Literacy means that your team members have the ability to read, work with and understand, analyze, present and make decisions using data.

Predictive Modeling 67

Predictive Modeling Data-driven Forecasting Visualization 67

IBM Big Data Hub

AUGUST 7, 2023

Research conducted by the Tufts Center for Study of Drug Development and presented in 2020 found that 23% of trials fail to achieve planned recruitment timelines 1 ; four years later, many of IBM’s clients still share the same struggle. AI can also empower trial managers and executives with the data to make strategic decisions.

Optimization 60

Optimization Forecasting Data-driven Strategy 60

datapine

APRIL 11, 2019

In the contemporary world of business, the age-old art of storytelling is far from forgotten: rather than speeches on the Senate floor, businesses rely on striking data visualizations to convey information, drive engagement, and persuade audiences. . Download our 10-step checklist and see how to tell the best data story.

Dashboards 169

Dashboards Visualization Data-driven Key Performance Indicator 169

O'Reilly on Data

OCTOBER 22, 2020

To pose useful questions requires that you first understand the present situation, know where you want to wind up, and map out stepping-stones between the two. The opinions presented here are personal, do not reflect the view of our employers, and are not professional product, consulting, or legal advice. A brief disclaimer.

Consulting 296

Consulting Risk Cost-Benefit Modeling 296

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! The growth in the range of data job titles is a testament to the value that these experts bring to their organizations.

Statistics 97

Statistics Metrics Visualization Finance 97

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. The evolution from Data Governance 1.0

Data Governance 40

Data Governance ROI Risk Management Metadata 40

BizAcuity

MARCH 1, 2019

IoT is basically an exchange of data or information in a connected or interconnected environment. As IoT devices generate large volumes of data, AI is functionally necessary to make sense of this data. Data is only useful when it is actionable for which it needs to be supplemented with context and creativity.

IoT 56

IoT Internet of Things Big Data Data-driven 56

CIO Business Intelligence

AUGUST 18, 2023

Defined as quantifiable and objective behavioral and physiological data collected and measured by digital devices such as implantables, wearables, ingestibles, or portables, digital biomarkers enable pharmaceutical companies to conduct studies remotely without the need for a physical site.

Measurement 97

Measurement Data Quality Visualization Data Collection 97

datapine

AUGUST 12, 2020

They may gather financial, marketing and sales-related information, or more technical data; a business report sample will be your all-time assistance to adjust purchasing plans, staffing schedules, and more generally, communicating your ideas in the business environment. Let’s get started. Explore our 14-day free trial.

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

FineReport

JULY 4, 2023

By regularly and automatically measuring KPIs, you can enhance productivity and reduce costs. This approach not only helps extract additional value from organizational data but also facilitates setting targets and measuring incremental progress in crucial areas of the business. Why do Businesses Track KPIs?

KPI 52

KPI Key Performance Indicator Dashboards Sales 52

datapine

JUNE 13, 2019

There are also different types of sales reports that will focus on different aspects: the sales performance in general, detailing the revenue generated, the sales volume evolution, measuring it against the sales target pre-set, the customer lifetime value, etc. You need to work hard, on the right things, at the right time. Get creative!

Sales 264

Sales Reporting KPI B2B 264

Jet Global

MAY 21, 2020

This is because their budgets are not just based on historical data. To be effective, decisions must be data driven. You need to infer from historical data across multiple departments to make accurate projections for the next year and confidently approve additional headcount, projects , or initiatives.

Finance 98

Finance KPI Forecasting Data-driven 98

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. I would take a look at our Top Trends for Data and Analytics 2021 for additional AI, ML and related trends.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Occam's Razor

DECEMBER 12, 2016

There is, almost literally, an unlimited number of things you could focus on to create a high impact data-influenced organization. In a world when your work will never be done, how do you assess that the core things necessary are present? What guarantees that agility and innovation are present in your analytics practice?

Analytics 141

Analytics Data-driven Strategy Consulting 141

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. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. ML model interpretability and data visualization. St Paul’s from Madison London.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

AUGUST 15, 2023

Whether a project aims to improve suicide prevention using data science or to create new revenue streams by reimagining an organization’s core business, CIO 100 Award winners demonstrate the innovative spirit of today’s IT in the face of rapidly evolving organizational challenges.

IT 96

IT Manufacturing IoT Cost-Benefit 96

Rita Sallam

AUGUST 28, 2022

The first one happened at our Data and Analytics Summit in London this past May. Last week, we ran the Analytics and BI Bake-off at the Data and Analytics Summit in Orlando with 5,500 of our closest D&A friends! These were our first in-person Data & Analytics Summits since 2019. What Data Did We Use?

Analytics 52

Analytics Data Analytics Cost-Benefit Measurement 52

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. Benchmarking (exactly how you can do it), impactful actionable executive dashboards (what they should contain), creating a data driven organization. Bonus: Interactive CD.

Analytics 60

Analytics Metrics Marketing Dashboards 60

FineReport

JUNE 26, 2023

Here are several key rationales highlighting the criticality of utilizing performance reporting in business: Establishing benchmarks : Performance reports act as benchmarks by incorporating baseline data, allowing comparisons to determine the effectiveness of new projects, marketing endeavors, budgeting initiatives, and other company-wide efforts.

Reporting 52

Reporting Key Performance Indicator Sales Visualization 52

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. This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

MAY 20, 2021

We present the inner workings of the SMOTE algorithm and show a simple “from scratch” implementation of SMOTE. Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. This renders measures like classification accuracy meaningless.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Alation

FEBRUARY 13, 2020

Without training data, without guidelines and guardrails, there is nothing intelligent about AI. More often than not, today, the key to unlocking that accomplishment sits within a tsunami of data: data collected from consumers, applications, and sensors. 53% are not yet treating data as a business asset.

Machine Learning 52

Machine Learning Data-driven Big Data Technology 52

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch presented “ Product Management for AI ” at Rev. Skomoroch advocates that organizations consider installing product leaders with data expertise and ML-oriented intuition (i.e., Without large amounts of labeled training data solving most AI problems is not possible. Session Summary. It is similar to R&D.

Management 110

Management Machine Learning Experimentation Metrics 110

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. Framing the Opportunity. It will save you hours and hours of time, effort and focus. Everything.

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

SEPTEMBER 4, 2012

Re-imagining what it means to get access to customer data and. Mobile presents a unique opportunity to shift from interruption to becoming a persistent part of someone's life. Data-driven decision making! :). Re-think Customer Data Acquisition, Intent Targeting/Monetization. Customer acquisition.

Marketing 144

Marketing Data mining Measurement Strategy 144

Occam's Razor

MAY 27, 2015

Because, I'm sure like you, I'm humbled by the immense opportunity digital presents. A data-first strategy is a winning formula. Apps are the past, present, future. The content of the letter could be customized to Stephanie's data/behavior. A data-first strategy is a winning formula. The web is dead.

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

Occam's Razor

JANUARY 7, 2014

First… it is important to realize that big data's big imperative is driving big action. 7: 25% of all analytical effort is dedicated to data visualization/enhancing data's communicative power. #6: The organization functions off a clearly defined Digital Marketing & Measurement Model. #1.

Data-driven 140

Data-driven Consulting Reporting Marketing 140

Occam's Razor

MARCH 23, 2010

Too many new things are happening too fast and those of us charged with measuring it have to change the wheels while the bicycle is moving at 30 miles per hour (and this bicycle will become a car before we know it – all while it keeps moving, ever faster). You'll have no time for data analysis, certainly not for data actioning. ~

Analytics 118

Analytics Consulting Metrics Experimentation 118