Sat.Aug 29, 2020 - Fri.Sep 04, 2020

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How CFOs Can Lead With Foresight

Jedox

The depth and breadth of the 2020 crisis caught many unaware. It thrust the Chief Financial Officer (CFO) to the frontline of business survival and saw many setting up cash control towers with granular oversight over cash flow, receivables, and payables to navigate disruptions. The new normal introduced new risks from employee health and safety, supply chain stress and government mandates – all with working capital implications.

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The Data Organization Spectrum

TDAN

When trying to build out a data organization, it is important to consider how people will be interacting with data. Will many people have access to the data or only a few? How will this affect the way that workers answer questions with the data? How will it affect the way data is governed at […].

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Integrating Python in Power BI: Get the best of both worlds

Analytics Vidhya

Overview A demonstration of statistical analytics by Integrating Python within Power BI Share the findings using dashboards and reports Introduction Power BI is. The post Integrating Python in Power BI: Get the best of both worlds appeared first on Analytics Vidhya.

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How To Present Your Market Research Results And Reports In An Efficient Way

datapine

To answer the question, “how can I get the answers I need to solve the new business challenges I face every day?”, there are two answers that go hand in hand: good exploitation of your analytics, that come from the results of a market research report. Market research analyses are the go-to solution for many professionals, and with reason: they save time, they provide new insights and clarification on the business market you are working on and help you to refine and polish your strategy.

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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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Create an Awesome Development Setup for Data Science using Atom

MLWhiz

Before I even begin this article, let me just say that I love iPython Notebooks, and Atom is not an alternative to Jupyter in any way. Notebooks provide me an interface where I have to think of “Coding one code block at a time,” as I like to call it, and it helps me to think more clearly while helping me make my code more modular. Yet, Jupyter is not suitable for some tasks in its present form.

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Integrating Data Governance and Enterprise Architecture

erwin

Aligning these practices for regulatory compliance and other benefits. Why should you integrate data governance (DG) and enterprise architecture (EA)? It’s time to think about EA beyond IT. Two of the biggest challenges in creating a successful enterprise architecture initiative are: collecting accurate information on application ecosystems and maintaining the information as application ecosystems change.

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How Big Data has Redefined the Legal Industry

Smart Data Collective

Rooted in Greek civilization, law is one of the world’s oldest professions, and for all these years, particularly in America, has been steadfast in its commitment to justice for all, and as a way to change things for the better. American lawyer Clarence Darrow, once said, “Justice has nothing to do with what goes on in a courtroom; Justice is what comes out of a courtroom.”.

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10 Open Source and Free Data Visualization Tools You Can’t-Miss

FineReport

Free data visualization tools are professional in different categories: dashboard, chart, maps, network, and so on. Today, let’s review the top free data visualization tools on the market. What are the Benefits of Using Free Data Visualization Tools? The most significant advantage is free, and open-source data visualization tools can help you control your budget.

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The Gamification of Data Governance

TDAN

Getting the business engaged with data governance can sometimes be a challenge. Any sort of driver to make that a more organic experience for your organization will be an asset. At NAIT (the Northern Alberta Institute of Technology), we have put together a process to visually identify and connect our reports to Data Governance. The […].

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Basic Concepts of Object-Oriented Programming in Python

Analytics Vidhya

Introduction While learning Object-Oriented Programming. I decided to dive into its history and it turned out to be fascinating. The term “Object-Oriented Programming” (OOP). The post Basic Concepts of Object-Oriented Programming in Python appeared first on Analytics Vidhya.

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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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Cloud Servers Are Fundamentally Rewriting The Rules Of Data Storage

Smart Data Collective

The market for cloud computing is growing at an insane pace. One analysis shows that it is likely to reach $761 billion by 2027. You might be surprised to know how much of a role it will play in the future of modern business. If it hadn’t been for massive advances in modern technology, the world would have been a completely different platform for modern businesses.

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Dimensionality Reduction: How It Works (In Plain English!)

Dataiku

In the previous three posts in the How They Work (In Plain English!) series, we went through a high-level overview of machine learning and took a deep dive into two key categories of supervised learning algorithms — linear and tree-based models — and the most popular unsupervised learning technique, clustering. Today, we’ll dive into a second key unsupervised learning technique — dimensionality reduction.

IT 114
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The Data-Centric Revolution: Data-Centric vs. Centralization

TDAN

We just finished a conversation with a client who was justifiably proud of having centralized what had previously been a very decentralized business function (in this case, it was HR, but it could have been any of a number of functions). They had seemingly achieved many of the benefits of becoming data-centric through decentralization: all […].

IT 119
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A Simple Introduction to Sequence to Sequence Models

Analytics Vidhya

Overview In this article, I would give you an overview of sequence to sequence models which became quite popular for different tasks like machine. The post A Simple Introduction to Sequence to Sequence Models appeared first on Analytics Vidhya.

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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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3 Reasons To Use Data Analytics To Pursue Long Tail Keywords

Smart Data Collective

Data analytics is becoming a critical component of modern SEO. We have previously identified the benefits of big data in SEO strategies. However, we thought it was time to talk about a more specific application of data analytics in SEO. Data analytics can be extremely useful for finding long-tail keywords for search engine marketing. Whether you intend to use data analytics for paid or organic search marketing, data analytics can help you find keywords that have the least competition and highest

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Recommendation Engines 101

Dataiku

Recommendation engines are everywhere today, whether explicitly offered to users (e.g., Amazon or Netflix, the classic examples) or working behind the scenes to choose which content to surface without giving the user a choice. And while building a simple recommendation engine can be quite straightforward, the real challenge is to actually build one that works and where the business sees real uplift and value from its output.

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Announcing Free Week Redux

DataCamp

All of DataCamp is completely free to everyone—again. Because we believe that everyone deserves the chance to become data literate safely at home.

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The 8 Largest Data Centers in the World in 2020

Analytics Vidhya

Overview: Data generation has skyrocketed these past few years – giving rise to the concept of data centers Here’s a list of the 8. The post The 8 Largest Data Centers in the World in 2020 appeared first on Analytics Vidhya.

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

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.

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Productivity Vs. Privacy: What Data Do Businesses Gather From Remote Staff?

Smart Data Collective

Since businesses made the shift to remote work at the start of the pandemic, they’ve faced a lot of unexpected questions and circumstances and solved a lot of problems on the fly. It’s been hard, but overall, they’ve done a remarkable job. There’s one area, however, where businesses have largely floundered: remote monitoring. Remote monitoring includes a wide range of functions, from offsite data collection to key tracking tools and even video-based monitoring, and though some of these tools are

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Streaming Analytics in the Real World

Cloudera

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. These businesses use data-fueled insights to enhance the customer experience, reduce costs, and increase revenues. And Cloudera is at the heart of enabling these real-time data driven transformations. .

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Move From Insight To Impact: Data Strategy & Insights 2020

Srividya Sridharan

The digital future is here. And data, analytics, and AI are going to drive this future. These capabilities are becoming more crucial to stay ahead of uncertainty and change and get smarter about every aspect of your business: your customers, your suppliers and partners, your competitors, your employees, your processes, your operations, and your markets.

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9 Key Skills Every Business Analytics Professional Should Have

Analytics Vidhya

Introduction What’s the most important skill you need to succeed in the analytics domain? I’ve seen this question floating around everywhere – our discussion. The post 9 Key Skills Every Business Analytics Professional Should Have appeared first on Analytics Vidhya.

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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.

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Real Estate and Big Data: A Match Made in Heaven?

Smart Data Collective

It’s easy to draw correlations between big data and certain areas of the business world. For example, it makes sense that a tech company would leverage big data, or that a software company would use it to develop a cutting edge SaaS offering. But in real estate, does big data really have a place at the table? Those inside the industry would say yes – and resoundingly so!

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Finding the ‘good’ in 2020 and beyond

Cloudera

I think we can all agree that it would be nice to have some good news in 2020, which is why the Data for Good category in this year’s Cloudera Impact Awards is such a pertinent one. The awards program is an annual corporate competition celebrating game-changing data-implementation projects. The Data for Good category recognizes organizations that have tackled some of the most challenging issues affecting society and the planet, making what was impossible in the past, possible today.

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Voice Banking and Information Governance

TDAN

Voice, messaging and artificial intelligence are helping transform customer engagement, particularly in financial services. But just how secure is the voice channel and how safe is the information passing through it? Tech companies and financial institutions are working carefully to implement artificial intelligence and interactive voice banking technologies to change both the personal involvement and […].

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Indexing and Selecting Data in Python – How to slice, dice for Pandas Series and DataFrame

Analytics Vidhya

Introduction The Python and NumPy indexing operators [] and attribute operator ‘.’ (dot) provide quick and easy access to pandas data structures across a. The post Indexing and Selecting Data in Python – How to slice, dice for Pandas Series and DataFrame appeared first on Analytics Vidhya.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

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.

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Move Over Tiger Woods: Big Data Helps Discover The Perfect Golf Swing

Smart Data Collective

Many years ago, Tiger Woods said “The More I Practice, the luckier I get!” While the general sentiment behind his statement is understandable, it has been shown that more informed golfers benefit the most from practicing. Advances in data analytics have offered tremendous benefits to astute golfers and other athletes. Within the next five years, the global market for sports analytics is expected to reach $4.3 billion.

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The Advantages Of Live Data-Streaming In The Competitive Financial Services Sector (Part III)

Cloudera

Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. To find out more about how streaming data might impact the financial services sector I sat down for a chat with Dinesh Chandrasekhar, Head of Product Marketing in Cloudera’s Data-in-Motion Business Unit.

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Analyst, Scientist, or Specialist? Choosing Your Data Job Title

Sisense

Blog. In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital. We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! The good news is that if you are passionate about data and have the skills to back it up, you can probably find a challenging, rewarding role.

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Basic Concepts of Object-Oriented Programming in Python

Analytics Vidhya

Introduction While learning Object-Oriented Programming. I decided to dive into its history and it turned out to be fascinating. The term “Object-Oriented Programming” (OOP). The post Basic Concepts of Object-Oriented Programming in Python appeared first on Analytics Vidhya.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

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.