Sat.Jun 25, 2022 - Fri.Jul 01, 2022

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DataOps Risk Insurance & Mission Control

DataKitchen

Chris Bergh shares how to manage data quality and pipeline risk through implementing a 'Mission Control' center for DataOps. The post DataOps Risk Insurance & Mission Control first appeared on DataKitchen.

Insurance 130
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Data Driven Culture: A Far-fetched Goal for Organizations

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Creating a collaborative, data-driven culture is one of the most important goals of many modern organizations. A data-driven culture is when data is used to make decisions at every level of the organization. A data-driven culture is about replacing the gut feeling […].

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Why Do You Need To Visualize Your Accounting Reports?

datapine

Table of Contents. 1) What Are Accounting Reports? 2) Why Do You Need Accounting Reports? 3) Types Of Accounting Reports. 4) Accounting Reports Examples. 5) The Role Of Visuals In Accountant Reports. On the basis of every company’s competent management, we can find accounting reports. Tracking the financial health of a business and its evolution over time is essential: to organize important business transactions, and keep track of invoices, but also for legal purposes.

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Celebrating Women in Leadership Roles in the Tech Industry

KDnuggets

The technology industry, specifically, has been continuing to close the gender gap.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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What is RPA? A revolution in business process automation

CIO Business Intelligence

What is robotic process automation? Robotic process automation (RPA) is an application of technology, governed by business logic and structured inputs, aimed at automating business processes. Using RPA tools, a company can configure software, or a “robot,” to capture and interpret applications for processing a transaction, manipulating data, triggering responses, and communicating with other digital systems.

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Stemming vs Lemmatization in NLP: Must-Know Differences

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the field of Natural Language Processing i.e., NLP, Lemmatization and Stemming are Text Normalization techniques. These techniques are used to prepare words, text, and documents for further processing. Languages such as English, Hindi consists of several words which are often derived […].

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Making Sense of CRISP-ML(Q): The Machine Learning Lifecycle Process

KDnuggets

Learn about the standard process for building sustainable machine learning applications.

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Why Do Some Companies Achieve More Predictive Analytics Success?

CIO Business Intelligence

There is growing belief that businesses are set to spend huge amounts of money on predictive analytics. While in 2021, the global market for corporate predictive analytics was worth $10 billion, it is forecast to balloon to $28 billion by 2026. At this relatively early stage of adoption, many businesses are suffering from tough problems. Research shows nine in 10 businesses are not fully confident in their ability to make future-ready decisions around what they sell, with particular worries arou

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How to Become a Blockchain Developer?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Although blockchain is still in its infancy, the opportunities for developers to contribute are not just exciting but also many. Many businesses, including supply chains, automotive, and finance, have adopted blockchain, but it is not without problems. When a cryptocurrency, namely Bitcoin, […].

Finance 343
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Semantic Models Benefit Analytical Processes

David Menninger's Analyst Perspectives

I’ve never been a fan of talking about semantic models because most of the workforce probably doesn’t understand what they are, or doesn’t recognize them by name. But the findings in our recent Analytics and Data Benchmark Research have changed my mind. The research shows how important a semantic model can be to the success of data and analytics processes.

Modeling 130
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15 Modern Use Cases for Enterprise Business Intelligence

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?

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24 SQL Questions You Might See on Your Next Interview

KDnuggets

Preparing for the SQL job interview can be overwhelming enough. You don’t need someone telling you that you need to know everything on top of that! Be smart and focus on preparing the SQL questions that appear most often at the job interview.

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Misled by metrics: 7 KPI mistakes IT leaders make

CIO Business Intelligence

Mark Twain famously remarked that there are three kinds of lies: lies, damned lies, and statistics. Today, many CIOs feel the same way about metrics. Metrics are only as good as their source. “Too often, technology companies pay consulting or analyst firms to create metrics based on the best characteristics of their offerings,” says Judith Hurwitz, CEO of Hurwitz Strategies, an emerging technology consulting firm.

Metrics 133
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20 SQL Coding Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction SQL stands for Structured Query Language. It’s a programming language to interact/query and manage RDBMS (Relational Database Management Systems). SQL skills are highly preferred and required as it’s used by many organizations in a large variety of software applications.

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Ways Businesses Can Boost Logistics Performance with Analytics

Smart Data Collective

Smart companies realize that analytics technology needs to be at the core of their business models. One of the most important ways that analytics can help companies thrive is by improving their logistics. Analytics Technology Helps Companies Bolster their Logistics Strategies. If you were cryogenically frozen twenty years ago, upon awakening, you’d probably be more shocked to learn that you can place an order on the internet and get it the same day, than you would about the world’s billionaires

Analytics 121
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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌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.

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Data Preparation with SQL Cheatsheet

KDnuggets

If your raw data is in a SQL-based data lake, why spend the time and money to export the data into a new platform for data prep?

Data Lake 160
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4 exciting Dutch healthcare technology companies to watch

CIO Business Intelligence

The Netherlands has positioned itself as an emerging medtech powerhouse, with more than 1,100 healthcare technology startups – more than three times as many relative to population size when compared to neighbouring Germany. The meteoric rise of the healthtech industry can be attributed to increasing costs for healthcare (which were up by approximately €9 billion in the Netherlands last year); the COVID-19 pandemic, which accelerated medical innovations; and the exponential growth of emerging tec

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Introduction to Memcached using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Memcached is a highly-performant distributed caching system. It is an in-memory key-value data store, which makes it a type of NoSQL database. Memcached is used by tech giants like Facebook, Twitter, Instagram, and Netflix. In my previous article, I explained Redis which […].

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Using Instagram Highlight Covers in Your Data-Driven Marketing Strategy

Smart Data Collective

Modern marketing strategies rely heavily on big data. One study found that retailers that use big data have 2.7 times greater brand awareness than those that don’t. Big data is even more important for companies that depend on social media marketing. Geoffrey Moore tweeted about this in 2012 when he said: “Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway.”.

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Marketing Operations in 2025: A New Framework for Success

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.

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7 Steps to Mastering Python for Data Science

KDnuggets

Here’s how you can learn to code in Python from scratch in 7 easy steps.

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Perfecting Operations Through Machine Learning

CIO Business Intelligence

CEMEX was faced with a flood of false positive alerts from its system monitoring software. Ultimately, the company deployed software and best practices to dramatically cut the false positives for improved monitoring and a better experience for employees and customers. Riddle me this! When is too much of a good thing not good? Well, for Juan Murguia Castillo, Cemex IT operations director, and his team in CEMEX’s Operations Control Center (OCC), that question presented itself every day.

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Custom Named Entity Recognition using spaCy v3

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to Named Entity Recognition A named entity is a ‘real-world object’ that is assigned a name, for example, person, organization, or location. For more details, check my previous article on fine tune Bert for NER. All in all, NER can be summarized as […].

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4 IT Management Best Practices Data-Driven Businesses Must Practice

Smart Data Collective

Data-driven businesses are far more successful than companies that don’t utilize data to their advantage. Unfortunately, they often find that managing their data effectively can be a challenge. Companies that rely on big data need a reliable IT department. You have to make sure that your IT infrastructure is adequately equipped to handle the volume of data your company will be processing and that it will be properly secured.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Essential Math for Data Science: Eigenvectors and Application to PCA

KDnuggets

In this article, you’ll learn about the eigendecomposition of a matrix.

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7 key Microsoft Azure analytics services (plus one extra)

CIO Business Intelligence

If you can’t make sense of your business data, you’re effectively flying blind. Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. Analytics is the means for discovering those insights, and doing it well requires the right tools for ingesting and preparing data, enriching and tagging it, building and sharing reports, and managing and protecting you

Data Lake 116
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Top 15 Important Data Science Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source – Analytics India Magazine Introduction Job interviews can be scary if you are a fresher and especially if you are attending interviews on interdisciplinary roles like Data Science and Machine Learning. The tension, the doubt if you will get a yes or […]. The post Top 15 Important Data Science Interview Questions appeared first on Analytics Vidhya.

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3 Smart Technologies Boosting Energy Efficiency Worldwide

Smart Data Collective

The growth of smart technology is one of the most beneficial trends brought on by advances in AI. It is projected that there will be over 77 million smart homes in the United States by 2025. Smart technology is also being used by businesses and government institutions around the world. Many factors are driving the demand for smart technology. The quest for efficient and sustainable energy usage is one of the defining technological challenges of the modern age — especially as we find ourselves in

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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.

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Statistics and Probability for Data Science

KDnuggets

In this article, we discuss the importance of statistics and probability in data science and machine learning.

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Sentry’s David Cramer on bootstrapping a unicorn

CIO Business Intelligence

Sentry was started as an open source project by David Cramer in 2008 to provide monitoring services for application developers. Cramer and co-founder Chris Jennings bootstrapped the company from the ground up, organically growing the business to over 3.5 million developers today. Sentry’s open source and cloud-based offerings support 100+ languages and frameworks and provide developers with visibility into the health of their applications.

Software 115
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Linear Algebra for Data Science With Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Linear Algebra, a branch of mathematics, is very much useful in Data Science. We can mathematically operate on large amounts of data by using Linear Algebra. Most algorithms used in ML use Linear Algebra, especially matrices. As most of the data is […]. The post Linear Algebra for Data Science With Python appeared first on Analytics Vidhya.

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10 Essential Data-Driven B2B Email Marketing Strategies

Smart Data Collective

Big data technology is leading to a lot of changes in the field of marketing. A growing number of marketers are exploring the benefits of big data as they strive to improve their branding and outreach strategies. Email marketing is one of the disciplines that has been heavily touched by big data. If you want to make the most of your big data strategy, you should keep reading to learn how to incorporate data into email marketing.

B2B 118
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

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.