Smart Data Collective

NOVEMBER 18, 2020

The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Previously, such problems were dealt with by specialists in mathematics and statistics.

Data mining 144

Data mining Data Science Informatics Statistics 144

datapine

MAY 27, 2020

An analytical report is a type of a business report that uses qualitative and quantitative company data to analyze as well as evaluate a business strategy or process while empowering employees to make data-driven decisions based on evidence and analytics.

Reporting 245

Reporting Analytics Dashboards Sales 245

datapine

SEPTEMBER 16, 2022

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. 14) “Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics” by Nathan Yau. “Most of us need to listen to the music to understand how beautiful it is.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

Smart Data Collective

JUNE 4, 2021

These data models predict outcomes of new data. Data science is one of the highest-paid jobs of the 21st century. Data science needs knowledge from a variety of fields including statistics, mathematics, programming, and transforming data. Here are the chronological steps for the data science journey.

Data Science 133

Data Science Statistics Deep Learning Machine Learning 133

datapine

MARCH 31, 2022

On the flip side, if you enjoy diving deep into the technical side of things, with the right mix of skills for business intelligence you can work a host of incredibly interesting problems that will keep you in flow for hours on end. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

FEBRUARY 7, 2025

You can use the flexible connector framework and search flow pipelines in OpenSearch to connect to models hosted by DeepSeek, Cohere, and OpenAI, as well as models hosted on Amazon Bedrock and SageMaker. The connector is an OpenSearch construct that tells OpenSearch how to connect to an external model host.

Data Processing 67

Data Processing Dashboards Modeling Statistics 67

Smart Data Collective

JUNE 28, 2021

They give online retailers high levels of control over their own internal data. They are not subject to data loss from hosting it in the cloud, which might have retention policies outside their control. E-commerce companies are using a lot of great data centers and hosting options.

Management 96

Management Big Data Advertising Data Processing 96

datapine

NOVEMBER 5, 2019

In fact, according to eMarketer, 40% of executives surveyed in a study focused on data-driven marketing, expect to “significantly increase” revenue. Not to worry – we’ll not only explain the link between big data and business performance but also explore real-life performance dashboard examples and explain why you need one (or several).

Dashboards 220

Dashboards Cost-Benefit Sales Metrics 220

Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. The details are below.

KDD 81

KDD Knowledge Discovery Data mining Data Science 81

CIO Business Intelligence

APRIL 25, 2022

An education in data science can help you land a job as a data analyst , data engineer , data architect , or data scientist. The course includes instruction in statistics, machine learning, natural language processing, deep learning, Python, and R. On-site courses are available in Munich. Cost: $1,099.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

AWS Big Data

MARCH 13, 2024

You need to use the user name and password for cloning the OSCAR data: GIT_LFS_SKIP_SMUDGE=1 git clone [link] cd OSCAR-2301 git lfs pull --include en_meta cd en_meta for F in `ls *.zst`; After you review the cluster configuration, select the jump host as the target for the run command. zst`; do zstd -d $F; done rm *.zst

Data Processing 131

Data Processing Dashboards Machine Learning Metrics 131

AWS Big Data

MARCH 6, 2024

The account on the right hosts the pseudonymization service, which you can deploy using the instructions provided in the Part 1 of this series. Amazon EMR empowers you to create, operate, and scale big data frameworks such as Apache Spark quickly and cost-effectively. Run ID Dataset Size Total Invocations A 9.53 MB per minute.

Statistics 113

Statistics Metrics Testing Data Lake 113

CIO Business Intelligence

JANUARY 20, 2023

Dashboards are hosted software applications that automatically pull together available data into charts and graphs that give a sense of the immediate state of the company. BI analysts use data analytics, data visualization, and data modeling techniques and technologies to identify trends.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. 2 – Data profiling. Data profiling is an essential process in the DQM lifecycle.

Data Quality 241

Data Quality Metrics Data-driven Management 241

datapine

NOVEMBER 19, 2019

Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. Some more examples of AI applications can be found in various domains: in 2020 we will experience more AI in combination with big data in healthcare. One of the IT buzzwords you must take note of in 2020.

Technology 279

Technology Internet of Things IT IoT 279

Sisense

OCTOBER 6, 2020

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?” First, data isn’t created in a uniform, consistent format.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

datapine

MAY 16, 2019

Exclusive Bonus Content: Ready to use data analytics in your restaurant? Get our free bite-sized summary for increasing your profits through data! A sobering statistic if ever we saw one. Data offers the power to gain an objective, accurate, and comprehensive view of your restaurant’s daily functions.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Sisense

DECEMBER 11, 2019

The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. This was the key learning from the Sisense event heralding the launch of Periscope Data in Tel Aviv, Israel — the beating heart of the startup nation. What VCs want from startups.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

AWS Big Data

DECEMBER 19, 2024

Each service is hosted in a dedicated AWS account and is built and maintained by a product owner and a development team, as illustrated in the following figure. The existence of a central data catalog enabled teams to seamlessly search, discover, share, and subscribe to data assets produced within the business.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

IBM Big Data Hub

OCTOBER 3, 2023

If you play fantasy football, you are no stranger to data-driven decision-making. Every week during football season, an estimated 60 million Americans pore over player statistics, point projections and trade proposals, looking for those elusive insights to guide their roster decisions and lead them to victory.

Modeling 90

Modeling Statistics Consulting Unstructured Data 90

Smart Data Collective

AUGUST 4, 2022

According to statistics, an astonishing 62% of managers are reluctant to talk to their employees about anything, while one in five business leaders feel uncomfortable when it comes to recognizing employees’ achievements. And you’ll be doing this every year without any clear purpose or benefit for your employees or clients.

Data-driven 135

Data-driven Metrics Data Collection Software 135

datapine

DECEMBER 17, 2019

But in this digital age, dynamic modern IT reports created with a state-of-the-art online reporting tool are here to help you provide viable answers to a host of burning departmental questions. The purpose is not to track every statistic possible, as you risk being drowned in data and losing focus.

Reporting 173

Reporting IT Key Performance Indicator Dashboards 173

Cloudera

MAY 18, 2021

The intent of this article is to articulate and quantify the value proposition of CDP Public Cloud versus legacy IaaS deployments and illustrate why Cloudera technology is the ideal cloud platform to migrate big data workloads off of IaaS deployments. Conclusion.

Cost-Benefit 86

Cost-Benefit Data-driven Machine Learning Data Warehouse 86

IBM Big Data Hub

APRIL 15, 2024

IBM Storage FlashSystem also offers inline data corruption detection through its new Flash Core Modules 4 (FCM4), which continuously monitors statistics gathered from every single I/O using machine learning models to early detect anomalies at block level.

Snapshot 96

Snapshot Machine Learning Interactive Statistics 96

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? It’s also necessary to understand data cleaning and processing techniques.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

The Unofficial Google Data Science Blog

JULY 22, 2020

For example, imagine a fantasy football site is considering displaying advanced player statistics. A ramp-up strategy may mitigate the risk of upsetting the site’s loyal users who perhaps have strong preferences for the current statistics that are shown. One reason to do ramp-up is to mitigate the risk of never before seen arms.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

AWS Big Data

NOVEMBER 8, 2023

They recently needed to do a monthly load of 140 TB of uncompressed healthcare claims data in under 24 hours after receiving it to provide analysts and data scientists with up-to-date information on a patient’s healthcare journey. This data volume is expected to increase monthly and is fully refreshed each month.

Data Lake 103

Data Lake Data Warehouse Cost-Benefit Optimization 103

Smart Data Collective

JUNE 10, 2019

This includes such things as data hosting locations, logging methods and logging tools. Organize the Log Data. While log data is valuable , it is very hard to extract that value if there isn’t some kind of structure to the data. You won’t be able to analyze it or get any meaningful statistics or reports out of it.

Analytics 86

Analytics Strategy Statistics Data Processing 86

AWS Big Data

OCTOBER 18, 2023

Modern analytics is much wider than SQL-based data warehousing. With Amazon Redshift, you can build lake house architectures and perform any kind of analytics, such as interactive analytics , operational analytics , big data processing , visual data preparation , predictive analytics, machine learning , and more.

Analytics 109

Analytics Data Warehouse Dashboards Testing 109

IBM Big Data Hub

JANUARY 9, 2024

High variance in a model may indicate the model works with training data but be inadequate for real-world industry use cases. Limited data scope and non-representative answers: When data sources are restrictive, homogeneous or contain mistaken duplicates, statistical errors like sampling bias can skew all results.

Enterprise 71

Enterprise Data Integration Data Quality Contextual Data 71

AWS Big Data

AUGUST 1, 2024

This is the most basic validation step to make sure no data has been lost or duplicated during the migration process. Column-level validation – Validate individual columns by comparing column-level statistics (min, max, count, sum, average) for each column between the source and target databases.

Data Warehouse 113

Data Warehouse KPI Optimization Cost-Benefit 113

datapine

FEBRUARY 23, 2023

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. That is because graphical representations of data make it easier to convey important information to different audiences. Table of Contents 1) What Are Graphs And Charts?

Visualization 177

Visualization Dashboards Sales Measurement 177

AWS Big Data

JUNE 15, 2023

Follow along In the following examples, we often refer to two out-of-the-box sample topics, Product Sales and Student Enrollment Statistics , so you can follow along as you go. Check out more QuickSight use cases and success stories on the AWS Big Data Blog.

Sales 96

Sales Dashboards Visualization Testing 96

IBM Big Data Hub

SEPTEMBER 13, 2023

Using IBM Cloud to transform global payments rails The need for continuously available payment processing requires a rethinking of end-of-day cycles and introduces the need for stand-in processing for the times when host applications are down for end-of-day cycles or unavailable due to system outages or maintenance.

Forecasting 73

Forecasting Statistics Data Processing Modeling 73

IBM Big Data Hub

MARCH 25, 2022

One of the key challenges in distributed scale-out databases included how to deploy many hosts built with high availability and elasticity while keeping the familiar SQL interface. Co-developing with customers in gaming, banking and ridesharing. Databases offer a diversity of technical areas that are in constant flux.

Data-driven 69

Data-driven Data Warehouse Data Processing Marketing 69

IBM Big Data Hub

AUGUST 14, 2023

But business leaders are facing a host of talent-related challenges, as a new global study from the IBM Institute for Business Value (IBV) reveals , from the skills gap to shifting employee expectations to the need for new operating models. billion people in the global workforce, according to World Bank statistics. billion of the 3.4

IT 73

IT Consulting Data-driven Statistics 73

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. The majority (72%) of enterprises that use APIs for model access use models hosted on their cloud service providers.

Cost-Benefit 89

Cost-Benefit Manufacturing Modeling Interactive 89