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 98

Measurement Data Quality Visualization Data Collection 98

CIO Business Intelligence

SEPTEMBER 8, 2022

In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. The ability to pivot quickly to address rapidly changing customer or market demands is driving the need for real-time data.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

datapine

JANUARY 31, 2022

BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions. BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

NOVEMBER 28, 2023

“By recognizing milestones, leaders give other stakeholders visibility into the progress being made, and also ensure that their team members feel appreciated for the level of effort they are putting in to make unstructured data actionable.” Quality is job one. Another key to success is to prioritize data quality.

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

erwin

FEBRUARY 28, 2019

The smart cities movement refers to the broad effort of municipal governments to incorporate sensors, data collection and analysis to improve responses to everything from rush-hour traffic to air quality to crime prevention. This can be accomplished with dashboards and constituent portals.

Digital Transformation 106

Digital Transformation Data Governance Data-driven Data Warehouse 106

Alation

JULY 15, 2022

In the Cambridge Analytica case, the company went from a data strategy focused on monetisation by increased revenue to company closure due to the reputational damage from the negative media and public response. Clearly, using private Facebook data collected in a nefarious manner to sway political elections is not ethical.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

DataKitchen

JUNE 24, 2021

Agility is absolutely the cornerstone of what DataOps presents in the build and in the run aspects of our data products.”. Automate the data collection and cleansing process. That’s no longer the way that we can operate because that is not going to move at the speed of business anymore. Take a show-me approach.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use. It can’t do that anymore.

Data Governance 75

Data Governance Strategy Enterprise Machine Learning 75

IBM Big Data Hub

FEBRUARY 9, 2023

Policies provide the guidelines for using, protecting, and managing data, ensuring consistency and compliance. Process refers to the procedures for communication, collaboration and managing data, including data collection, storage, protection, and usage. So where are you in your data governance journey?

Data Governance 76

Data Governance Business Objectives Data Quality Measurement 76

Jet Global

AUGUST 23, 2021

Manage data from diverse systems. Data quality is a central point for producing quality reports that can be used effectively in decision-making. Besides simply presenting data, the audience must understand what the figures mean and see the trends. Improve collaborative measures.

Finance 52

Finance Data Collection Reporting Data Quality 52

erwin

JUNE 11, 2020

Data intelligence can take raw, untimely, and incomprehensible data and present it in an aggregated, condensed, digestible, and usable information. More businesses employing data intelligence will be incorporating blockchain to support its processes. Data quality management.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Sisense

OCTOBER 15, 2020

Every data professional knows that ensuring data quality is vital to producing usable query results. Streaming data can be extra challenging in this regard, as it tends to be “dirty,” with new fields that are added without warning and frequent mistakes in the data collection process.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

Smart Data Collective

SEPTEMBER 22, 2021

Unlike defined data – the sort of information you’d find in spreadsheets or clearly broken down survey responses – unstructured data may be textual, video, or audio, and its production is on the rise.

Unstructured Data 135

Unstructured Data Management Cost-Benefit Machine Learning 135

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. Data analysts in one organization might be called data scientists or statisticians in another. Business Analyst.

Statistics 97

Statistics Metrics Visualization Finance 97

Jet Global

FEBRUARY 25, 2025

Data cleansing is the process of identifying and correcting errors, inconsistencies, and inaccuracies in a dataset to ensure its quality, accuracy, and reliability. This process is crucial for businesses that rely on data-driven decision-making, as poor data quality can lead to costly mistakes and inefficiencies.

Cost-Benefit 52

Cost-Benefit Data Collection Finance Reporting 52

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch presented “ Product Management for AI ” at Rev. You’re presenting it in a smaller form factor. The biggest time sink is often around data collection, labeling and cleaning. ” There’s either incomplete data, missing tracking data or duplicative tracking data, things like that.

Management 110

Management Machine Learning Experimentation Metrics 110

FineReport

MAY 31, 2023

A financial dashboard, one of the most important types of data dashboards , functions as a business intelligence tool that enables finance and accounting teams to visually represent, monitor, and present financial key performance indicators (KPIs). You can download FineReport for free and have a try! Free Download of FineReport 1.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Ontotext

NOVEMBER 16, 2023

Data mesh solves this by promoting data autonomy, allowing users to make decisions about domains without a centralized gatekeeper. It also improves development velocity with better data governance and access with improved data quality aligned with business needs.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

Alation

OCTOBER 12, 2021

Folks can work faster, and with more agility, unearthing insights from their data instantly to stay competitive. Yet the explosion of data collection and volume presents new challenges. Build a roadmap for future data and analytics projects, like cloud computing. Evaluate and monitor data quality.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

IBM Big Data Hub

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. Use c ase s cenario : A manufacturing company needs to perform near real-time analysis of sensor data collected from machines on the factory floor.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

FineReport

MARCH 24, 2024

Data Analyst Job Description: Major Tasks and Duties Data analysts collaborate with management to prioritize information needs, collect and interpret business-critical data, and report findings. Certified Analytics Professional (CAP) , providing advanced insights into converting data into actionable insights.

Statistics 52

Statistics Data mining Visualization Sales 52

Peter James Thomas

AUGUST 29, 2018

My role encompasses being the business driver for the data platform that we are rolling out across the organisation and its success in terms of the data going onto the platform and the curation of that data in a governed state, depending on the consumer requirements.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

Ontotext

AUGUST 23, 2021

Knowledge graphs have become increasingly popular in the last few years thanks to their ability to provide access to dynamic, richly interconnected, machine-processable data. Another thing that an EKG of ENTSO-E Transparency data can vastly improve is to make what’s behind the collected data even more transparent.

Marketing 52

Marketing Data Quality Modeling Management 52

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Andrew White

JANUARY 9, 2022

Check this out: The Foundation of an Effective Data and Analytics Operating Model — Presentation Materials. Much as the analytics world shifted to augmented analytics, the same is happening in data management. – Data (and analytics) governance remains a challenge. Great presentation, thank you.

Analytics 64

Analytics Measurement Data-driven Modeling 64

O'Reilly on Data

JULY 28, 2020

The ultimate result was the development of multiple models that optimize for different metrics, and the redesign of the tool so that it could present those outputs clearly and intuitively to different kinds of users. Data Quality and Standardization. There are many excellent resources on data quality and data governance.

Marketing 364

Marketing Experimentation Metrics Testing 364

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 363

Consulting Risk Cost-Benefit Modeling 363

Occam's Razor

DECEMBER 12, 2016

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? My answer was: " Look for these two elements, if they are present then it is worth helping the company with free consulting and analysis.

Analytics 142

Analytics Data-driven Strategy Consulting 142

Occam's Razor

APRIL 21, 2014

The mistake we make is that we obsess about every big, small and insignificant analytics implementation challenge and try to fix it because we want 99.95% comfort with data quality. We wonder why data people are not loved. :). Are all your reports and presentations beyond last click? Six years go by. strategies).

Marketing Analytics 132

Marketing Analytics Marketing Analytics Metrics 132

Depict Data Studio

MAY 12, 2020

Amanda went through some of the top considerations, from data quality, to data collection, to remembering the people behind the data, to color choices. COVID-19 Data Quality Issues. It’s really hard to make these apples to apples comparisons, as easy as it might seem since the data is so accessible.”.

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

FEBRUARY 4, 2019

In other words, your talk didn’t quite stand out enough to put onstage, but you still get “publish or perish” credits for presenting. Note that Eric Colson presented “ Differentiating By Data Science ” at Rev in 2018 – an example of the kinds of premium quality talks you’ll hear at Rev this year! This is not that.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

The Unofficial Google Data Science Blog

JULY 18, 2023

Measurement challenges Assessing reliability is essentially a process of data collection and analysis. To do this, we collect multiple measurements for each unit of observation, and we determine if these measurements are closely related. In this case, the scale is not measuring the construct that interests us.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

datapine

AUGUST 29, 2022

Each of the three parts starts with chapters that are theoretical and finishes with more practical ones to make sense of all the concepts and knowledge previously presented, which is something that readers really enjoy about Nathan Marz’s work. – Eric Siegel, author, and founder of Predictive Analytics World.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Jet Global

MAY 9, 2024

ETL pipelines are commonly used in data warehousing and business intelligence environments, where data from multiple sources needs to be integrated, transformed, and stored for analysis and reporting. Technologies used for data ingestion include data connectors, ingestion frameworks, or data collection agents.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MARCH 4, 2024

Moving data across siloed systems is time-consuming and prone to errors, hurting data quality and reliability. Built on proven technology trusted by thousands, it delivers investor-grade data with robust controls, audit trails, and security. It’s not just a solution, it’s a partnership for a greener future.

Reporting 52

Reporting Data-driven Metrics Software 52

Jet Global

MARCH 4, 2024

What is the best way to collect the data required for CSRD disclosure? The best way to collect the data required for CSRD disclosure is to use a system that can automate and streamline the data collection process, ensure the data quality and consistency, and facilitate the data analysis and reporting.

Reporting 52

Reporting Management Cost-Benefit Publishing 52