Rocket-Powered Data Science

JULY 6, 2021

Do you present your employees with a present for their innovative ideas? If you include the title of this blog, you were just presented with 13 examples of heteronyms in the preceding paragraphs. One type of implementation of a content strategy that is specific to data collections are data catalogs.

Strategy 267

Strategy Machine Learning Metadata Knowledge Discovery 267

Rocket-Powered Data Science

MARCH 10, 2020

I present here a short excerpt from my contribution to the book. “Shocking Amount of Data” An excerpt from my chapter in the book: “We are fully engulfed in the era of massive data collection. From those presently perceived patterns, AI then produces an output (decision and/or action).

Data Collection 248

Data Collection Digital Transformation Big Data Forecasting 248

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

CIO Business Intelligence

DECEMBER 20, 2024

Data architecture components A modern data architecture consists of the following components, according to IT consulting firm BMC : Data pipelines. A data pipeline is the process in which data is collected, moved, and refined. It includes data collection, refinement, storage, analysis, and delivery.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

datapine

AUGUST 12, 2020

The different sets of visual representations of data can clearly point out specific trends or actions that need to be taken in order to stay on the financial track of a company. Not to be limited just to these data, you can always customize and make sample business reports for your specific needs. Why You Need Business Reports?

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

CIO Business Intelligence

FEBRUARY 20, 2025

The data retention issue is a big challenge because internally collected data drives many AI initiatives, Klingbeil says. With updated data collection capabilities, companies could find a treasure trove of data that their AI projects could feed on. of their IT budgets on tech debt at that time.

Insurance 108

Insurance Cost-Benefit Unstructured Data Data Lake 108

O'Reilly on Data

JANUARY 28, 2019

The problems with consent to data collection are much deeper. It comes from medicine and the social sciences, in which consenting to data collection and to being a research subject has a substantial history. We really don't know how that data is used, or might be used, or could be used in the future.

Insurance 250

Insurance Metadata Data Collection Marketing 250

datapine

JULY 8, 2020

We won’t delve into details about the career prospects of this C-level position but we will present COO dashboards and reports that are critical for helping chief operating officers across the world to effectively manage their time, company, operational processes, and results. And present COO dashboard examples and templates.

Dashboards 202

Dashboards Reporting Metrics Visualization 202

datapine

APRIL 16, 2019

3) Gather data now. Gathering the right data is as crucial as asking the right questions. For smaller businesses or start-ups, data collection should begin on day one. Once it is identified, check if you already have this data collected internally, or if you need to set up a way to collect it or acquire it externally.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

O'Reilly on Data

OCTOBER 16, 2018

Create a coherent BI strategy that aligns data collection and analytics with the general business strategy. They recognize the instrumental role data plays in creating value and see information as the lifeblood of the organization. That’s why decision-makers consider business intelligence their top technology priority.

Business Intelligence 231

Business Intelligence Data Science Descriptive Analytics Data Collection 231

datapine

JANUARY 6, 2022

While there are several different types of processes that are implemented based on individual data nature, the two broadest and most common categories are “quantitative analysis” and “qualitative analysis”. There are various data interpretation methods one can use. agree, strongly agree, disagree, etc.). What is the keyword?

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

OCTOBER 14, 2020

The point of such dashboards is not to simplify the working environment and analysis processes since there are massive volumes of data collected on a daily level, and companies need solutions that will bring them to the right answer at the right time. Thankfully, it’s also time to take a step back from your spreadsheets and slides.

Dashboards 235

Dashboards Interactive Reporting KPI 235

O'Reilly on Data

MARCH 31, 2020

For example, if engineers are training a neural network, then this data teaches the network to approximate a function that behaves similarly to the pairs they pass through it. That foundation means that you have already shifted the culture and data infrastructure of your company. If you can’t walk, you’re unlikely to run.

Management 363

Management Machine Learning Experimentation Metrics 363

Smart Data Collective

MARCH 24, 2020

The relationship between performance parameters and factors for predicting performance is involved in complex nonlinear relationships, so the areas of data collection should be comprehensive. A selection of information sources, data acquisition procedures, information processing algorithms. Data collection.

Big Data 122

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 122

Smart Data Collective

MAY 16, 2022

Data management systems provide a systematic approach to information storage and retrieval and help in streamlining the process of data collection, analysis, reporting, and dissemination. It also helps in providing visibility to data and thus enables the users to make informed decisions.

Management 136

Management Data mining Data Warehouse Data Collection 136

Rocket-Powered Data Science

JUNE 17, 2022

What I missed in-person was more than compensated for by the incredible online presentations by Splunk leaders, developers, and customers. Reference ] Splunk Observability Cloud’s Federated Search capability activates search and analytics regardless of where your data lives — on-site, in the cloud, or from a third party.

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

Smart Data Collective

MAY 29, 2023

With these changes comes the challenge of understanding how to gather, manage, and make sense of the data collected in various markets. With the introduction and use of machine learning, AI tech is enabling greater efficiencies with respect to data and the insights embedded in the information.

Data Collection 104

Data Collection Big Data Statistics Software 104

Rocket-Powered Data Science

JULY 21, 2023

Despite the thousands of miles (and kilometers) of separation, I could feel the excitement in the room as numerous announcements were made, individuals were honored, customer success stories were presented, and new solutions and product features were revealed.

Machine Learning 190

Machine Learning Metrics Internet of Things Reporting 190

Smart Data Collective

DECEMBER 15, 2022

Business data is a broad field that, like every other type of data , is statistics about the business. Analytical insights are formed based on this data through a few simple steps. Data Collection. Data analytics is the simplest way of transforming a large group of figures simply and understandably.

Analytics 124

Analytics Visualization Data Collection Statistics 124

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

CIO Business Intelligence

JANUARY 9, 2025

This required dedicated infrastructure and ideally a full MLOps pipeline (for model training, deployment and monitoring) to manage data collection, training and model updates. In-depth analysis: LLMs can go beyond simple data presentation to identify and explain complex patterns in the data.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

Smart Data Collective

OCTOBER 13, 2021

A growing number of screenwriters are discovering the wonders of big data. Fast Company wrote about this back in 2013 when they said that Big Data is Rewriting Hollywood Scripts. This can be where big data comes in. You need to step up your presentation by using these investor pitch deck examples ! But don’t sweat it.

Data-driven 128

Data-driven Big Data Recreation/Entertainment Data Analytics 128

Juice Analytics

MARCH 26, 2019

Hilburn's Law of Data Intentionality identifies the existence of a positive correlation between the intentionality of data collection and and the intentionality of data communication [citation needed]. The following diagram represents this relationship between intentional data collection and intentional data presentation.

Data Collection 67

Data Collection Dashboards Consulting Measurement 67

Smart Data Collective

NOVEMBER 24, 2020

Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Privacy violations and unauthorized use of data may pose serious hazards to businesses. Access to Essential Information. Increase in ROI.

Business Intelligence 134

Business Intelligence Visualization Dashboards Prescriptive Analytics 134

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. Look for peculiarities in your data (for example, data from legacy systems that truncate text fields to save space).

Marketing 364

Marketing Experimentation Metrics Testing 364

O'Reilly on Data

JUNE 18, 2019

In a recent paper, the HoloClean project showed how to use “data augmentation” to generate many examples of possible errors (from a small seed) to power its automatic error detection model. The landscape of solutions we presented here for the quest for high-quality data have already been well validated in the market today.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

Smart Data Collective

JANUARY 10, 2023

That’s why you need to find a way to train the data that will make it work as you need. Today there are various tools that rely on ML and AI technologies which help them to understand the received data and further present them in a convenient format. Proceed to data analysis. Final word.

IoT 124

IoT Business Intelligence Visualization Internet of Things 124

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Data Collection Challenge. Factory ID.

Digital Transformation 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

CIO Business Intelligence

OCTOBER 24, 2023

Understanding GenAI and security GenAI refers to the next evolution of AI technologies: ones that learn from massive amounts of data how to generate new code, text, and images from conversational interfaces. Each generation of tools presents its own set of security challenges. This raises legal and ethical implications.

Risk 126

Risk Recreation/Entertainment Data Collection Data Processing 126

CIO Business Intelligence

MARCH 21, 2022

Data scientists are often engaged in long-term research and prediction, while data analysts seek to support business leaders in making tactical decisions through reporting and ad hoc queries aimed at describing the current state of reality for their organizations based on present and historical data.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

datapine

MAY 2, 2023

The rise of SaaS business intelligence tools is answering that need, providing a dynamic vessel for presenting and interacting with essential insights in a way that is digestible and accessible. The future is bright for logistics companies that are willing to take advantage of big data.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

Smart Data Collective

MAY 29, 2023

Understanding Bias in AI Translation Bias in AI translation refers to the distortion or favoritism present in the output results of machine translation systems. This bias can emerge due to multiple factors, such as the training data, algorithmic design, and human influence. AI translation models must collect and annotate data fairly.

Metrics 96

Metrics Measurement Data Collection Strategy 96

Smart Data Collective

MARCH 8, 2021

The industry is continually changing, so if you want to successfully plan your budget, it is essential to effectively use the available funds in the present. Undoubtedly, the cost of maintaining a fleet depends on many factors, but data helps you figure out what works best for your fleet here and now. Fuel Management.

Big Data 143

Big Data Management Predictive Analytics Statistics 143

FineReport

AUGUST 14, 2020

Based on the process from data to knowledge, a standard reporting system’s functional architecture is shown below. It is composed of three functional parts: the underlying data, data analysis, and data presentation. The data layer of FineReport supports multiple data sources and data integration. .

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

Smart Data Collective

APRIL 14, 2021

Business intelligence is simply a tool, computer software, and practice used to collect, integrate, analyze, and present raw business data that can be used to create actionable and informative business data. Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting.

Business Intelligence 138

Business Intelligence Dashboards Visualization Big Data 138

Smart Data Collective

APRIL 16, 2019

The report highlighted that , at the present rate of development, there will be 43 megacities by 2030 and New Delhi is set to surpass Tokyo, which is currently the world’s largest city. The safety of citizens should be a priority for every city, and Big Data can make it easier for authorities to prevent crime and manage emergency scenarios.

Big Data 111

Big Data IoT Data Collection Management 111

CIO Business Intelligence

APRIL 22, 2022

For most organizations, it is employed to transform data into value in the form of improved revenue, reduced costs, business agility, improved customer experience, the development of new products, and the like. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data Science 140

Data Science Statistics Machine Learning Visualization 140