Sat.Jun 13, 2020 - Fri.Jun 19, 2020

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3 Advanced Excel Charts Every Analytics Professional Should Try

Analytics Vidhya

Overview Advanced Excel charts are a great way to create effective and impactful stories for our audience Learn 3 advanced Excel charts here to. The post 3 Advanced Excel Charts Every Analytics Professional Should Try appeared first on Analytics Vidhya.

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Video: Data Conversations Over Coffee with Thuthukile Rakharebe

Corinium

This is the first in a short series promoting the Data Management profession.

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The Difference Between Enterprise Architecture and Solutions Architecture

erwin

Despite the similarities in name, there are a number of key differences between an enterprise architecture and solutions architecture. Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate. And as with data architecture , a solution architect’s focus is narrower.

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Reporting in Haiku

Juice Analytics

Over the last couple of weeks we’ve been running a survey to find out how people feel about reporting. In the survey, we asked respondents to provide three words that come to mind when you think of reporting. Semantic text analysis is great, but the best way I found to extract the essence of this question was through haiku. These are your words, rearranged.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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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AUC-ROC Curve in Machine Learning Clearly Explained

Analytics Vidhya

AUC-ROC Curve – The Star Performer! You’ve built your machine learning model – so what’s next? You need to evaluate it and validate how. The post AUC-ROC Curve in Machine Learning Clearly Explained appeared first on Analytics Vidhya.

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Digital Transformation in the Spotlight at DCO Nordics

Corinium

Data Champions Online Nordics revealed how the region’s data leaders are mastering stakeholder management, increasing data literacy and managing expectations around emerging technologies. Corinium’s inaugural Data Champions Online, Nordics event brought together more than 200 data and analytics executives from the region’s leading brands from June 9-11.

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4 Steps to Building a Successful Data Program

DataCamp

AXA XL’s Head of Strategic Design, Data, Pricing and Analytics breaks down how to get your data program off the ground and implement a successful data-driven culture.

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Statistics for Analytics and Data Science: Hypothesis Testing and Z-Test vs. T-Test

Analytics Vidhya

Overview Hypothesis testing is a key concept in statistics, analytics, and data science Learn how hypothesis testing works, the difference between Z-test and t-test, The post Statistics for Analytics and Data Science: Hypothesis Testing and Z-Test vs. T-Test appeared first on Analytics Vidhya.

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COVID-19 Tops the Agenda at Data Champions Online Financial Services

Corinium

This digital event shone a light on how financial services data leaders are accelerating their organizations’ digital transformations in response to the pandemic. COVID-19’s impact on the financial services sector dominated conversations at Corinium’s Data Champions Online, Financial Services digital event earlier this month.

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Bar Chart Race: A Complete Guide

FineReport

Have such videos been hot recently? Its professional name is the bar chart race. You may have seen this video many times. The effect can be said to be very intuitive and shocking, but do you know how to do it? Under normal circumstances, a lot of code needs to be developed to make a chart like this. For most people, the requirements are too high, and the cost of learning is also high.

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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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DataCamp’s New Partnership With Anaconda to Spread Data Fluency

DataCamp

DataCamp is partnering with Anaconda to help you develop your team’s expertise in Python for data science.

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A Classic Deep Learning Project – How to Add an Image Behind Objects in a Video

Analytics Vidhya

Overview Adding an image behind a moving object is a classic deep learning project Learn how to add a logo in a video using. The post A Classic Deep Learning Project – How to Add an Image Behind Objects in a Video appeared first on Analytics Vidhya.

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Video: Data Conversations Over Coffee with Janine, Rohena & Maria

Corinium

In episode 17 I'm joined by Janine West and Rohena Govender from Investec and Maria Dalle Ave from the JSE for a conversation about data privacy & protection.

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The Difference Between Enterprise Architecture and Solutions Architecture

erwin

Despite the similarities in name, there are a number of key differences between an enterprise architecture and solutions architecture. Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate. And as with data architecture , a solution architect’s focus is narrower.

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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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Five Design Tips to Deliver a Seamless Embedded Analytics Experience

Sisense

Blog. In Managing Up , we give product managers and their teams actionable guidance on how to build, test, and release programs that will delight users and stand the test of time. From development to execution, our industry experts and seasoned pros can help you work smarter, not harder. Delivering additional value to your customers by providing data-driven insights is a sure-shot way to improve your competitive advantage and monetize your data.

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UnLock 2020 – Announcing Starter Programs in Machine Learning and Business Analytics at an Unmissable Price

Analytics Vidhya

UnLock your Once-in-a-Lifetime Learning Opportunity What if you were provided with the highest quality machine learning and business analytics courses, at an unmissable price, The post UnLock 2020 – Announcing Starter Programs in Machine Learning and Business Analytics at an Unmissable Price appeared first on Analytics Vidhya.

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Video: Data Conversations Over Coffee with Eugene Ras

Corinium

In episode 18 Eugene talks to me about Distell's data analytics journey as well how they've responded to the recent ban on the sales of alcohol.

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The 6 Core Skills of a Good Data Scientist

Dataiku

The term “ data scientist ” was coined in 2008 by two LinkedIn analysts to describe their work deriving business value from the masses of data being generated by their website. Since then, people haven't stopped wondering what a data scientist really is (even some companies looking to hire them aren't so sure). If you're seeing an intrepid data scientist to lead your company on the path to Enterprise AI, what skill sets should you be looking for?

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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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Accelerate your journey to AI in the financial services sector

IBM Big Data Hub

As the world confronts new challenges, it is a unique, unprecedented time to recast old ways of working and redefine industries. At this moment, although it may seem that global business is at its quietist, beneath a veneer of calm, feverish transformations are taking place across markets, behind the closed doors of companies and their workers, all evolving to these new conditions.

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The What, Why and How of Successful Management Reporting

FineReport

Management reporting is common and to some extent indispensable in enterprise reporting. These are very useful as they provide corporate leaders with accurate data and detailed management conditions, which helps them make smarter decisions and adjust strategies. In this article, we’re going to introduce the what, why, and how of successful management reporting and provide solutions for you.

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Just Published: Dual Forrester Wave™ Evaluations On Text Analytics

Boris Evelson

Enterprises have been successfully leveraging analytics platforms such as business intelligence (BI), predictive analytics based on machine learning (PAML), cognitive search, and others for multiple applications and use cases for decades. That has not been the case with text analytics or natural language processing (NLP) technologies. Forrester tracks over hundred vendors whose platforms are mostly […].

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COVID-19: Drive the future of work (Part 4)

Decision Management Solutions

Following up on part 1 , part 2 , and part 3 , McKinsey’s Jump-starting resilient and reimagined operations discussed the impact of COVID-19 on the future of work. We are already seeing radical changes in how people work, especially with remote collaboration and other digital tools. But work is also going to change in more fundamental ways – as the authors note, companies will need to reskill their workforce to move from manual, repetitive tasks to human-only capabilities.

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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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How to use AI to optimize queries and automate resource management

IBM Big Data Hub

As companies progress on their Journey to AI , there is considerable focus on what needs to be available to build AI driven applications. The rungs of the AI ladder, which are best described as Collect, Organize, Analyze, Infuse, and Modernize are designed to strengthen a company’s use of AI. However, the individual impact of AI on each rung should not be overlooked.

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The Paycheck Protection Program: What CFOs Should Know

Jet Global

The Paycheck Protection Program (PPP) is a cornerstone of the recent CARES Act, which was passed at the end of March. The law allocated $349 billion to assist small businesses in covering payroll and related expenses, as well as mortgage interest, rent, and utilities. The program got some negative publicity because of a somewhat rocky rollout and the fact that funding in the original bill was depleted very quickly.

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Don’t Buy Data – Invest In It

TDAN

There are some expressions about data that are getting a bit tired: “Data is the new oil,” “In God We Trust (all others must bring data),” “Buy data, sell high”… Okay, you caught me, I kind of made that last one up. But, the point stands: the narrative around data tells us we all understand […].

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COVID-19: Increase transparency (Part 3)

Decision Management Solutions

Following up on part 1 and part 2 , McKinsey’s Jump-starting resilient and reimagined operations highlighted how COVID-19 will rapidly increasing expense transparency in organizations. Increasing transparency generally is one of the key benefits of our approach to working with clients – our use of decision modeling and business rules technology often dramatically increases the general level of transparency in their decision-making for instance.

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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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Share VSAM data with new environments while reducing operating costs

IBM Big Data Hub

A survey of end-users of Data Integration and Integrity (DII) software conducted by IDC in 2019 found that dynamic data movement, also known as data replication, is best served by stand-alone or platform tools, not custom code.

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The Many Flavors of Gradient Boosting Algorithms

Dataiku

The most famous implementation of Gradient Boosting algorithm is probably XGBoost [ 1 ] for its wins in many Kaggle competitions. Although it performs very well on various tasks, it presents some limits with scalability. Recently, contenders such as LightGBM [ 2 ], HistGradientBoosting and CatBoost [ 3 ] have been developed, and they each come with their own implementation tricks to tackle this issue.

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AWS First-Party Service Integration with Teradata Vantage

Teradata

Integration with AWS first-party services gives our enterprise customers as much cloud-native functionality as they want for their Vantage environments. Learn more.

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Soft Stuff Uses Analytics to Pivot During Pandemic

Sisense

Blog. Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. This piece was originally published on Search Business Analytics. Soft Stuff Distributors was faced with a choice when the spread of COVID-19 began to affect the economy: either pivot its business or perish.

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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.