CIO Business Intelligence

AUGUST 11, 2021

Business intelligence is not an oxymoron like jumbo shrimp. It’s not dead. And it’s not being superseded by artificial intelligence.

Business Intelligence 98

Business Intelligence 98

Analytics Vidhya

AUGUST 9, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Magic Methods Magic methods are special methods in python that have. The post Explore the Magic Methods in Python appeared first on Analytics Vidhya.

Data Science 372

Data Science Publishing Analytics 372

DataKitchen

AUGUST 13, 2021

A drug company tests 50,000 molecules and spends a billion dollars or more to find a single safe and effective medicine that addresses a substantial market. Figure 1 shows the 15-year cycle from screening to government agency approval and phase IV trials. Drug companies desperately look for ways to compress this lengthy time frame and to demonstrate the competitive advantage of their intellectual property.

Testing 246

Testing Dashboards Measurement Marketing 246

BA Learnings

AUGUST 7, 2021

Are you thinking about initiating a digital transformation campaign in your company? If so, you may be worried about what could go wrong, and the challenges that possibly lie ahead. You’ve probably heard about the many unsuccessful stories, and you’re right to be concerned. Boston Consulting Group conducted a digital transformation study in 2020 to find out why such projects are missing the mark.

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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

Occam's Razor

AUGUST 9, 2021

Almost all metrics you currently use have one common thread: They are almost all backward-looking. If you want to deepen the influence of data in your organization – and your personal influence – 30% of your analytics efforts should be centered around the use of forward-looking metrics. Predictive metrics! But first, let's take a small step back.

Metrics 143

Metrics Analytics Key Performance Indicator Predictive Modeling 143

Analytics Vidhya

AUGUST 10, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction According to Haines and Crounch, mathematical modelling is a process. The post Mathematical Modelling: Modelling the Spread of Diseases with SIRD Model appeared first on Analytics Vidhya.

Modeling 398

Modeling Data Science Publishing Analytics 398

Juice Analytics

AUGUST 8, 2021

Presenting data to customers or clients is an opportunity: it is a chance to shape how they look at your solution, demonstrate the value you deliver, and guide them to better decisions. Unfortunately, a lot of client reporting is treated as a check-the-box activity. We wanted to share some examples of high impact reporting and the features that make them effective: 1.

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Reporting Metrics Visualization IT 140

Smart Data Collective

AUGUST 10, 2021

Big data and analytics technology is rapidly changing the future of modern business. Over 67% of companies spend over $10,000 a year on analytics solutions. Investments in analytics are being made across all major industries. ‘Although companies in healthcare, IT and finance are some of the biggest investors in analytics technology, plenty of other sectors are investing in analytics as well.

Data Analytics 137

Data Analytics Analytics Big Data Key Performance Indicator 137

Analytics Vidhya

AUGUST 10, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon What is Anomaly Detection? Anomaly detection detects anomalies in the data. The post Multivariate Time Series Anomaly Detection using VAR model appeared first on Analytics Vidhya.

Modeling 399

Modeling Data Science Publishing Analytics 399

Domino Data Lab

AUGUST 12, 2021

We all have heard how data is the new oil. I always say that if that is the case, we need to go through some refinement process before that raw oil is converted into useful products. For data, this refinement includes doing some cleaning and manipulations that provide a better understanding of the information that we are dealing with. In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

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Data-driven

Cloudera

AUGUST 11, 2021

Once upon an IT time, everything was a “point product,” a specific application designed to do a single job inside a desktop PC, server, storage array, network, or mobile device. Point solutions are still used every day in many enterprise systems, but as IT continues to evolve, the platform approach beats point solutions in almost every use case.

Enterprise 120

Enterprise Software Big Data Strategy 120

Smart Data Collective

AUGUST 11, 2021

Big data has become fundamentally important to the future of cybersecurity. A growing number of companies using data analytics, artificial intelligence and other forms of big data technology to bolster their defenses against cyberattacks. Medical device companies are highly vulnerable to cyberattacks. A growing number of these businesses are investing in big data technology to help keep hackers at bay.

Data-driven 134

Data-driven Big Data Manufacturing Software 134

Analytics Vidhya

AUGUST 10, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Ref :[link] Introduction: Slack is a communication platform. Users send. The post Slack Data Engineering: Design and Architecture appeared first on Analytics Vidhya.

Data Science 397

Data Science Publishing Analytics Big Data 397

DataKitchen

AUGUST 12, 2021

The post DBTA Readers’ Choice Awards, 2021 first appeared on DataKitchen.

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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

Dataiku

AUGUST 13, 2021

Explainable AI has become a powerful mitigating force that enables modelers, regulators, and laypeople to have more trust and confidence in machine learning models. However, it’s not always easy for data scientists to implement models that are explainable. To help them do so in practice — and raise awareness for some of the pitfalls they may encounter — we held a webinar on the topic that focused on the tradeoffs between white-box and black-box models, fairness and explainability concepts both b

Machine Learning 111

Machine Learning Modeling 111

Smart Data Collective

AUGUST 10, 2021

In today’s market, it’s hard to thrive or even just survive without collecting data. Companies have to understand their customers better than they do, study their competitors and understand how cultural and global influences affect their positioning. Data can help them create strategies based on these powerful forces. The good news is that it’s never been easier to collect and organize data.

Analytics 131

Analytics Data-driven Advertising Data Science 131

Analytics Vidhya

AUGUST 7, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction This article aims to compare four different deep learning and. The post Email Spam Detection – A Comparative Analysis of 4 Machine Learning Models appeared first on Analytics Vidhya.

Machine Learning 393

Machine Learning Modeling Deep Learning Data Science 393

Cloudera

AUGUST 12, 2021

In my previous blog post, I shared examples of how data provides the foundation for a modern organization to understand and exceed customers’ expectations. However, the important role data occupies extends beyond customer experience and revenue, as it becomes increasingly central in optimizing internal processes for the long-term growth of an organization.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

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

Dataiku

AUGUST 11, 2021

Dataiku’s end-to-end platform gives our users the ability to turn raw data into business-impacting decisions using advanced predictive analytics. In addition, Dataiku serves a large variety of user personas, technical skills, industries, and use cases. In this blog post, we're going to show you how you can expand Dataiku’s value within your organizations even further by integrating with your BI tool of choice to uplevel from prescriptive to predictive analyses.

Predictive Analytics 111

Predictive Analytics Analytics 111

Smart Data Collective

AUGUST 9, 2021

Big data is becoming increasingly important in the cybersecurity profession. A number of IT security professionals are using big data and AI technology to create more robust cybersecurity solutions. As cybersecurity threats become more serious, the demand for data-savvy cybersecurity experts will continue to rise. This figure has already surged in 2021.

Big Data 130

Big Data Consulting Uncertainty IoT 130

Analytics Vidhya

AUGUST 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction- With the rise of social media in recent years, there. The post Twitter-based Gender Classification -A Machine Learning Project appeared first on Analytics Vidhya.

Machine Learning 374

Machine Learning Data Science Publishing Analytics 374

Cloudera

AUGUST 13, 2021

Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis. This whole architecture made a lot of sense when there was a consistent and predictable flow of data to process.

Analytics 111

Analytics Data Lake Unstructured Data Enterprise 111

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

Domino Data Lab

AUGUST 9, 2021

For a model-driven enterprise, having access to the appropriate tools can mean the difference between operating at a loss with a string of late projects lingering ahead of you or exceeding productivity and profitability forecasts. This is no exaggeration by any means. With the right tools, your data science teams can focus on what they do best – testing, developing and deploying new models while driving forward-thinking innovation.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

Dataiku

AUGUST 10, 2021

Using machine learning (ML) to predict customer growth, churn, and to find insights in the data is not only a trendy topic, but also something that can bring a lot of value. However, there is an essential prerequisite for any machine learning model, and machine learning models for these use cases are no different: good-quality data (in this case customer relationship management or CRM data).

Data Quality 105

Data Quality Machine Learning Modeling Management 105

Analytics Vidhya

AUGUST 8, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction to Convolution Convolution is a trendy term in computer vision. The post Implementing Convolution As An Image Filter Using OpenCV appeared first on Analytics Vidhya.

Data Science 367

Data Science Publishing Analytics 367

Cloudera

AUGUST 10, 2021

Follow your data in object storage on-premises. As businesses look to scale-out storage, they need a storage layer that is performant, reliable and scalable. With Apache Ozone on the Cloudera Data Platform (CDP) , they can implement a scale-out model and build out their next generation storage architecture without sacrificing security, governance and lineage.

Testing 105

Testing Metadata IT Modeling 105

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

Ontotext

AUGUST 12, 2021

One of our clients is a major children’s hospital in the Midwestern United States. Apart from being a large medical service provider, the institution is also a major research center with several hundred faculty members engaged in a variety of scientific activities beyond their medical duties. Between them, the faculty members have published more than ten thousand peer-reviewed scientific articles, many in top ranking Pediatrics journals.

Metrics 98

Metrics Visualization Reporting Data Collection 98

Dataiku

AUGUST 9, 2021

Everywhere one looks in the data blogs these days, people are expounding the freedom and scalability of a data mesh, but very little is being said about how one actually builds towards having this mystical mesh. While a microservices pattern aims to expose software as a network of discoverable, secure, and scalable atomic services, a data mesh conceives of data access and data services like inference engines as a similar set of composable data services.

Enterprise 105

Enterprise Software 105

Analytics Vidhya

AUGUST 7, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon In the last blog, we discussed what an Artificial Neural network. The post Implementing Artificial Neural Network on Unstructured Data appeared first on Analytics Vidhya.

Unstructured Data 367

Unstructured Data Data Science Publishing Analytics 367

Teradata

AUGUST 12, 2021

For both analysts and data scientists, identifying paths and patterns in data is a valuable way to gain insight into the occurrences leading to or from any event of interest. Read more.

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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