Analytics Vidhya

JULY 24, 2022

This article was published as a part of the Data Science Blogathon. Introduction Any data science task starts with exploratory data analysis to learn more about the data, what is in the data and what is not. Having knowledge of different pandas functions certainly helps to complete the analysis in time. Therefore, I have listed […]. The post Pandas Functions You Should Know for Data Analysis appeared first on Analytics Vidhya.

Data Science 393

Data Science Publishing Analytics Machine Learning 393

CIO Business Intelligence

JULY 26, 2022

All successful CIOs know how to instruct, motivate, energize, and even excite their teams. Yet only a relative handful of IT leaders can truly be described as inspirational figures, capable of leading their teams to goals that collegues at other enterprises can only dream about. CIOs who are purposefully positive and responsible, with a focus on integrity, tend to inspire others, says Ola Chowning, a partner at global technology research and advisory firm ISG.

IT 140

IT Consulting Uncertainty Insurance 140

datapine

JULY 26, 2022

Table of Contents. 1) What Is A Small Business Dashboard? 2) What Are Small Business KPIs? 3) Why Do You Need Small Business Dashboards. 4) Small Business Dashboard & KPIs Examples. The times were data analysis was segregated to big enterprises that had the necessary resources to carry it out are long gone. Today, thanks to the rise of self-service BI tools, the analytical doors have been opened to a wider audience.

Dashboards 151

Dashboards KPI Metrics Sales 151

David Menninger's Analyst Perspectives

JULY 26, 2022

Organizations are collecting vast amounts of data every day, utilizing business intelligence software and data visualization to gain insights and identify patterns and errors in the data. Making sense of these patterns can enable an organization to gain an edge in the marketplace and plan more strategically.

Business Intelligence 147

Business Intelligence Visualization Software Machine Learning 147

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Analytics Vidhya

JULY 26, 2022

This article was published as a part of the Data Science Blogathon. Introduction Who doesn’t love chocolate? Everybody does. But not everyone likes dark chocolates as they taste bitter. But if you want to be healthy and want to overcome some stressful situation, this bad guy will give you some relief. Just take a bite […]. The post Analysis on Dark Chocolates using Python and Plotly appeared first on Analytics Vidhya.

Data Science 389

Data Science Publishing Analytics Visualization 389

CIO Business Intelligence

JULY 28, 2022

For the past few years, IT leaders at a US financial services company have been struggling to hire data scientists to harness the increasing flood of incoming data that, if used properly, could improve customer experience and drive new products. To deal with this hiring problem, they’ve had to get creative. They’re not just offering remote work and flexible hours.

Data Science 143

Data Science IT Machine Learning Data-driven 143

Smart Data Collective

JULY 28, 2022

Bitcoin has experienced tremendous price volatility in recent months. Traders are struggling to make sense of these patterns. Fortunately, new predictive analytics algorithms can make this easier. The financial industry is becoming more dependent on machine learning technology with each passing day. Last summer, a report by Deloitte showed that more CFOs are using predictive analytics technology.

Predictive Analytics 137

Predictive Analytics Analytics Forecasting Machine Learning 137

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction One of the sources of Big Data is the traditional application management system or the interaction of applications with relational databases using RDBMS. Such RDBMS-generated Big Data is kept in the relational database structure of Relational Database Servers. Big Data storage and analysis […].

Big Data 390

Big Data Data Science Interactive Publishing 390

Dataiku

JULY 29, 2022

When many people hear the phrase “AI in health care,” they may think of doctors being replaced by robots or machines. Not exactly a positive connotation, both on the patient and on the physician side of the equation, and also far from a realistic goal or measure of success. The potential for AI in health care is so much more diverse and, in many ways, complex.

Measurement 134

Measurement 134

KDnuggets

JULY 25, 2022

Looking for a great course to go from machine learning zero to hero quickly? fast.ai has released the latest version of Practical Deep Learning For Coders. And it won't cost you a thing.

Deep Learning 136

Deep Learning Machine Learning IT 136

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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

Data-driven

Smart Data Collective

JULY 25, 2022

Business intelligence is an integral part of any business strategy. It helps to turn your data or objectives into something meaningful. Business intelligence software can integrate information and present it in dashboards, reports, or graphs. Sixty-four percent of BI users have felt it was very helpful. It is also essential for a business to have a bi consultant who helps the business enhance its data strategy and processes.

Business Intelligence 134

Business Intelligence Consulting Dashboards Strategy 134

Analytics Vidhya

JULY 26, 2022

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered how a person or a bank is notified of the wrongful transaction of his credit card, like how did system can notify that particular person or the bank about the transaction, which will help save his money by […]. The post An End-to-end Guide on Anomaly Detection with PyCaret appeared first on Analytics Vidhya.

Data Science 388

Data Science Publishing Analytics Machine Learning 388

CIO Business Intelligence

JULY 27, 2022

During the past few years, business leaders experienced a crash course of invaluable lessons. While there was plenty to learn throughout the pandemic, perhaps the most important takeaway was the value of being agile and flexible in the face of fast-moving changes. The businesses with the resilience to roll with the punches have fared measurably better than those lacking a fast-acting ability to protect operations, technology, and employees from crisis and chaos.

Data Processing 128

Data Processing Forecasting Measurement Technology 128

KDnuggets

JULY 27, 2022

Calculus for Data Science • Real-time Translations with AI • Using Numpy's argmax() • Using the apply() Method with Pandas DataFrames • An Introduction to Hill Climbing Algorithm in AI.

IoT 134

IoT Data Science 134

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

Marketing

Smart Data Collective

JULY 27, 2022

Are you planning on running a startup that relies heavily on data analytics technology ? This is a smart decision. A report by Entrepreneur shows that companies that use big data have 8% higher profits. They also cut expenses by an average of 10%. There are tons of great benefits of using big data to run your company. You can improve marketing strategies with big data , improve employee productivity, meet compliance targets and track trends more easily.

Data-driven 132

Data-driven Manufacturing Big Data Testing 132

Analytics Vidhya

JULY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction The other day, I was reading “Natural Language Processing with Transformers” a book authored by Lewis Tunstall, Leandro von Werra, and Thomas Wolf. In it, I came across Scaling laws and challenges associated with scaling Transformer models. This topic also included excerpts […].

Data Science 378

Data Science Publishing Modeling Analytics 378

Dataiku

JULY 27, 2022

It takes a village, or more accurately a diverse group of brilliant advocates and experts to develop a strong approach to governed and safe AI. At Dataiku, we’re lucky enough to have such people in our company, and Triveni Gandhi, Data Scientist and Responsible AI Lead, is one of them. Triveni has recently won the 2022 VentureBeat Women in AI Award in the Responsibility and Ethics of AI category.

IT 105

IT 105

KDnuggets

JULY 26, 2022

This article will focus on a step-by-step data drift study using Eurybia an open-source python library.

Modeling 155

Modeling Machine Learning 155

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Business Intelligence

Smart Data Collective

JULY 27, 2022

In today’s world, data is increasingly being shared and stored electronically. Therefore, the need to protect data from unauthorized access or theft is more important than ever. The of data breaches cannot be overstated. Over 440 million data records were exposed in data breaches in 2018 alone. This figure is growing as more people work from home and don’t take adequate precautions.

Software 119

Software Data Processing Measurement Risk 119

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction We are all pretty much familiar with the common modern cloud data warehouse model, which essentially provides a platform comprising a data lake (based on a cloud storage account such as Azure Data Lake Storage Gen2) AND a data warehouse compute engine […]. The post How a Delta Lake is Process with Azure Synapse Analytics appeared first on Analytics Vidhya.

Data Lake 383

Data Lake Data Warehouse Analytics Data Science 383

CIO Business Intelligence

JULY 25, 2022

While researchers examined the pandemic in relation to how companies managed to keep afloat in such an unprecedented situation, auditors assessed the increased data vulnerability, lack of data compliance, and costs incurred by such events. As businesses were forced to adapt new styles of working and adapt technologies, they struggled to meet security compliance standards like the General Data Protection Regulation (GDPR) and lagged in responding to data breaches.

Cost-Benefit 105

Cost-Benefit Enterprise Reporting Risk 105

KDnuggets

JULY 27, 2022

If you incorporate domain knowledge into your architecture and your model, it can make it a lot easier to explain the results, both to yourself and to an outside viewer. Every bit of domain knowledge can serve as a stepping stone through the black box of a machine learning model.

Machine Learning 116

Machine Learning Modeling IT 116

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

Data-driven

Smart Data Collective

JULY 25, 2022

Data breaches are becoming far more common these days. Security Magazine reports that over 22 billion records were exposed in the over 4,000 publicly disclosed data breaches last year. The actual number is likely higher, since many data breaches are never reported. We have talked extensively about the importance of taking precautions to prevent data breaches.

Risk 119

Risk Reporting Measurement IT 119

Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Processing large amounts of raw data from various sources requires appropriate tools and solutions for effective data integration. Many companies prefer to work with serverless tools and codeless solutions to minimize costs and streamline their processes. Building an ETL pipeline using Apache […].

Data Science 375

Data Science Data Integration Publishing Analytics 375

CIO Business Intelligence

JULY 25, 2022

Construction logistics have traditionally been complicated, intensive, and error-prone and, until recently, there was little indication that this was going to change. Ordering can be maddening, delivery points are often overloaded, and larger construction companies average 150,000 receipts annually. Processing those receipts has long been a challenge in itself.

Manufacturing 105

Manufacturing Digital Transformation Finance Risk 105

KDnuggets

JULY 25, 2022

Normalization is a good technique to use when your data consists of being scaled and your choice of machine learning algorithm does not have the ability to make assumptions on the distribution of your data.

Machine Learning 112

Machine Learning 112

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

Sales

Smart Data Collective

JULY 27, 2022

Big data technology has helped businesses improve efficiency in many important ways. Many companies are using big data to streamline many different aspects of their business. They use data analytics tools to improve financial management, One of the ways that many companies are using big data is to improve the way that they manage appointments. They can use data-driven appointment management tools to make this process easier than ever.

Big Data 118

Big Data Management Data-driven Software 118

Analytics Vidhya

JULY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Apache Flume Apache Flume is a data ingestion mechanism for gathering, aggregating, and transmitting huge amounts of streaming data from diverse sources, such as log files, events, and so on, to a centralized data storage. It has a simplistic and adaptable […].

Data Science 371

Data Science Publishing Analytics IT 371

CIO Business Intelligence

JULY 27, 2022

Prasanna Burri began his career as a mechanical engineer in India but had a secret passion for IT. His endeavour to get into the technology space led him to learn about enterprise application platforms and he eventually started his ERP career at IBM. Later he joined SAP Labs in the US where he was immersed in product management for cloud technology.

Manufacturing 98

Manufacturing Machine Learning Technology Consulting 98

KDnuggets

JULY 25, 2022

Free Python Automation Course • Machine Learning Algorithms Explained in Less Than 1 Minute Each • Parallel Processing Large File in Python • 12 Most Challenging Data Science Interview Questions • Decision Tree Algorithm, Explained.

Machine Learning 112

Machine Learning Data Science 112

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.

Modeling