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 127

Business Intelligence Visualization Dashboards Prescriptive Analytics 127

FineReport

JUNE 29, 2023

An IoT dashboard serves as a data visualization instrument that restructures and presents a set of data obtained and transmitted by network-connected devices. Its main objective is to furnish easily understandable information, enabling the remote monitoring of historical and real-time IoT data in a concise manner.

IoT 52

IoT Dashboards Visualization Cost-Benefit 52

CIO Business Intelligence

SEPTEMBER 27, 2024

We monitor the entire flow and use aggregated data to evaluate the best solutions and experience to bring to the customer. We always present consumers with two different experiences and evaluate the result. From there, we choose one and make any changes to the site experience, so our strategy for e-commerce is entirely data-driven.”

Management 67

Management IT Cost-Benefit Testing 67

FineReport

MARCH 6, 2024

” The income statement presents the enterprise’s operating results during a defined accounting period. FineReport supports various data sources, aiding enterprises in rapidly constructing data centers. How are the Three Financial Statements Presented?

Reporting 52

Reporting Operational Reporting Statistics Dashboards 52

FineReport

MARCH 7, 2024

However, due to regulatory controls on sensitive data like phone numbers and technical challenges in cross-platform integration of Internet and mobile reporting data, our current matching rates are relatively low, reaching around 20% in ideal scenarios, excluding telecom data. We assess revenue streams.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Depict Data Studio

JULY 28, 2020

Vivian and I are both members of the same Facebook group (a community for everyone taking data visualization training with me). Vivian and her colleagues had collected surveys from parents and teachers to gauge their opinions. Visualizing the Data. They had used the graphs from my presentation!” metro area.

Visualization 102

Visualization Reporting Modeling Statistics 102

Sisense

SEPTEMBER 3, 2020

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. Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization.

Statistics 97

Statistics Metrics Visualization Finance 97

FineReport

FEBRUARY 28, 2020

Enterprise reporting is a process of extracting, processing, organizing, analyzing, and displaying data in the companies. It uses enterprise reporting tools to organize data into charts, tables, widgets, or other visualizations. The central one is the data visualization technology at the display level.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

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

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. Efficient clinical trial site selection continues to be a prominent industry-wide challenge.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

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

The Unofficial Google Data Science Blog

OCTOBER 31, 2016

If you don’t have the right tools/visualization to look at your data, you need to work on those first. Slice your data Slicing means to separate your data into subgroups and look at the values of your metrics in those subgroups separately. On the flip side, you sometimes have a small volume of data.

Metrics 107

Metrics Measurement Statistics Data Collection 107

Smart Data Collective

JANUARY 10, 2023

BI and IoT are a perfect duo as while IoT devices can gather important data in a real team, BI software is intended for processing and visualizing this information. First of all, you need to define what data should be collected from your IoT devices, processed, and visualized. Proceed to data analysis.

IoT 105

IoT Business Intelligence Visualization Internet of Things 105

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

Domino Data Lab

JANUARY 21, 2021

Producing insights from raw data is a time-consuming process. Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. The Importance of Exploratory Analytics in the Data Science Lifecycle. Exploratory analysis is a critical component of the data science lifecycle.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

datapine

JUNE 4, 2020

A CTO dashboard is a critical tool in the process of evaluating, monitoring, and analyzing crucial high-level IT metrics such as support expenses or critical bugs, e.g., with the goal to create a centralized and dynamic point of access for all relevant IT data. Benefit From Our CTO Dashboard Example. click to enlarge**.

Dashboards 130

Dashboards Reporting Metrics Visualization 130

Domino Data Lab

AUGUST 12, 2021

In this blog we will continue our discussion about data exploration with Pandas Profiler and include another tool that may come handy for those of us that may be more inclined to use visual clues, D-Tale. The purpose of Data Exploration. Data exploration is a very important step before jumping onto the machine learning wagon.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

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

datapine

NOVEMBER 19, 2019

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future.

Technology 279

Technology Internet of Things IT IoT 279

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. ML model interpretability and data visualization. . – back to the structure of the dataset.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

DataRobot Blog

DECEMBER 1, 2022

Artificial intelligence (AI) can help improve the response rate on your coupon offers by letting you consider the unique characteristics and wide array of data collected online and offline of each customer and presenting them with the most attractive offers. Feature lineage shows how a feature was created.

Machine Learning 52

Machine Learning Marketing Statistics Sales 52

FineReport

JUNE 26, 2023

These reports commonly incorporate graphical elements such as charts, graphs, tables, and statistics, which complement the text-based information and offer visual representation. Gather Relevant Data : Collect accurate and relevant data from reliable sources.

Reporting 52

Reporting Key Performance Indicator Sales Visualization 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. 12) Big Data at Work: Dispelling the Myths, Uncovering the Opportunities, by Thomas H.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

SEPTEMBER 22, 2023

What are the benefits of data management platforms? Modern, data-driven marketing teams must navigate a web of connected data sources and formats. Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics.

Management 103

Management Advertising Data Lake Sales 103

CIO Business Intelligence

JUNE 9, 2022

In these instances, data feeds come largely from various advertising channels, and the reports they generate are designed to help marketers spend wisely. Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics.

Management 144

Management Advertising Data Lake Sales 144

Depict Data Studio

AUGUST 18, 2020

I used to write hundred-page reports… I was trained to write lengthy reports filled with statistical jargon. My audience can understand the information, so the data actually gets used. “Before this course, I was visualizing data in all the wrong ways. Important information sat around and gathered dust.

Reporting 52

Reporting Visualization Dashboards Consulting 52

Depict Data Studio

MAY 8, 2023

Two classes focus on core data visualization skills (translating technical information for non-technical audiences; making sure we don’t just have bar charts; and using colors and fonts that are branded, accessible, and intuitive). I call them deep dives because they focus just on reports, or dashboards, or presentations.

Dashboards 52

Dashboards Visualization Reporting Interactive 52

datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch presented “ Product Management for AI ” at Rev. All you need to know, for now, is that machine learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to learn based on data by being trained on past examples. Session Summary.

Management 110

Management Machine Learning Experimentation Metrics 110

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. Spark, Kafka, TensorFlow, Snowflake, etc.,

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Depict Data Studio

APRIL 16, 2019

The first of two data visualization workshops with @AnnKEmery is underway! Long ago, I had majored in psychology so I could take as many research methods and statistics courses as possible. Sometimes I helped graduate students and professors with conference presentations or posters. We gave formal presentations.

Visualization 56

Visualization Reporting Statistics Dashboards 56

datapine

APRIL 16, 2019

As a direct result, less IT support is required to produce reports, trends, visualizations, and insights that facilitate the data decision making process. From these developments, data science was born (or at least, it evolved in a huge way) – a discipline where hacking skills and statistics meet niche expertise.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. For example, migrating customer data from an on-premises database to a cloud-based CRM system.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52