January, 2020

Data Quality in Financial Institutions


In the last decade regulatory requirements in financial services increased significantly. Datacon Africa DataCon Africa Insights Data and Analytics

5 Thoughts on How to Transition into Data Science from Different Backgrounds

Analytics Vidhya

Overview Looking to transition into data science? Here are 5 paths for a non-data science person to land a role in this space The. The post 5 Thoughts on How to Transition into Data Science from Different Backgrounds appeared first on Analytics Vidhya.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Three ways a data analytics solution helps with ERP migration


There are many benefits for companies in manufacturing, distribution and retail to invest in enterprise resource planning (ERP) technology, including enhanced automation for the ability to deal with a complex data landscape.

How To Extract Maximum Value Of Your Customer Service Data With Professional Customer Service Reports


“There is only one boss. The customer.” – Sam Walton, Walmart’s founder. Customer experience is slowly but surely exceeding both price and product as the world’s most critical brand differentiator, according to numerous articles over the Internet written by industry experts.

Assessing and Fostering a Culture of Innovation

Speaker: Magnus Penker, CEO & Founder, Innovation360 Group

Welcome to an interactive empowering session on how to sharpen your future through innovation management, which can help guide your company’s goals. During this webinar, Magnus Penker, international thought leader and author, will dive into how to assess and foster culture and capabilities for innovation.

From HR to Marketing: 5 Departments Every Business Needs


When running a business, it can be confusing and overwhelming trying to figure out all of the different things your business needs to be successful.

Handling Trees in Data Science Algorithmic Interview


This post is about fast-tracking the study and explanation of tree concepts for the data scientists so that you breeze through the next time you get asked these in an interview. 2020 Jan Tutorials, Overviews Algorithms Data Science Decision Trees Interview questions

More Trending

A Comprehensive Learning Path to Understand and Master NLP in 2020

Analytics Vidhya

Introduction Google “NLP jobs” and a remarkable number of relevant searches show up. There are businesses spinning up around the world that cater exclusively. The post A Comprehensive Learning Path to Understand and Master NLP in 2020 appeared first on Analytics Vidhya.

Flexible data analytics solution works for everyone in LB White's team


White has grown to become one of the world’s leading manufacturers of direct-fired heaters for the agricultural, construction, and rental industries. Approximately 50 employees support the production and global distribution of more than 50,000 SKUs from the company’s headquarters in Wisconsin.

Utilize The Effectiveness Of Professional Executive Dashboards & Reports


Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway. Geoffrey Moore, Author of Crossing the Chasm & Inside the Tornado.

Digital Transformation Must Be a Priority for Learning Leaders in 2020


Digital Transformation Must Be a Priority for Learning Leaders in 2020The beginning of a fiscal year is the ideal time to evaluate transformative ideas, and a potential digital transformation strategy.

Encouraging Innovation in an Established Product Culture

Speaker: Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies

Innovation is both a process and an outcome. The best way to begin innovating your products is by innovating your internal process. We'll explore the challenges, solutions, and hands-on techniques for becoming a successful "agent of change" within a well-established product culture. We'll examine the importance of UX and user-centric feature analysis, the adaptation of Agile Methodologies to the creative process, as well as a way to drive successful culture change for setting expectations and winning approvals with cross-functional stakeholders. Innovation and Leadership go hand in hand. Join Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies, as we assess some case studies to see how to lead with a clear strategy well-defined tactics, and an unbiased understanding of the fundamental question: "why are you innovating?"

Top 9 Mobile Apps for Learning and Practicing Data Science


This article will tell you about the top 9 mobile apps that help the user in learning and practicing data science and hence is improving their productivity. 2020 Jan Opinions Apps Data Science Mobile

Unicorns Will Power Latin America’s Data Transformation


Data leaders at Latin America’s tech ‘unicorns’ are in a unique position. Young companies often have data in their bones but lack the budget for truly innovative data projects. Meanwhile, established enterprises have the resources for data initiatives, but are stubborn and resistant to change.

What are Generative Models and GANs? The Magic of Computer Vision

Analytics Vidhya

Overview Generative models and GANs are at the core of recent progress in computer vision applications This article will introduce you to the world. The post What are Generative Models and GANs? The Magic of Computer Vision appeared first on Analytics Vidhya.

New Year's resolution for CEOs: more data discovery


Data discovery is the process of collecting raw data from your various databases and systems, and converting it into a single source for instant analysis. Once data is converted, users can drill down to follow your train of thought.

The Magic of Intent: Start Knowing The Goals of Your Users

Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando

It's important to know your users - what are their preferences, pain points, ultimate goals? With user research and usage data, you can get a great idea of how your users act. The tricky part is, very few users reliably act the same way every time they use your product. Join Terhi Hanninen, Senior Product Manager, and Dr. Franziska Roth, Senior User Researcher at Zalando, as they explain how they were able to reach a new level of user understanding - by taking their user research and segmenting their users by point-in-time intent. You'll leave with a strategy to change how your product team, and organization at large, understands your users.

The SAP Reporting Strategy You Need for 2020

Jet Global

Reporting is considered a necessary evil by a lot of people. Without clear, accurate, and comprehensive reports, there is no way to know how your company is performing. Yet the amount of time, input, and resources that reporting requires means it can drag down performance in the process.

Can AI Boost Our Intelligence Through Education?


The value of education is measured by the ability of students to acquire and apply knowledge and skills.

Uber Creates Generative Teaching Networks to Better Train Deep Neural Networks


The new technique can really improve how deep learning models are trained at scale. 2020 Jan Tutorials, Overviews Generative Adversarial Network Neural Networks Training Uber

A Brief History of Our Future


Paul Morley. Datacon Africa DataCon Africa Insights Data and Analytics

Buyer’s Guide for Embedded Analytics

Selecting the right embedded analytics technology in a crowded market filled with sub-categories can be a daunting task. This eBook discusses the top evaluation criteria buyers of embedded analytics need to consider.

A Guide to Link Prediction – How to Predict your Future Connections on Facebook

Analytics Vidhya

Overview An introduction to link prediction, how it works, and where you can use it in the real-world Learn about the importance of Link. The post A Guide to Link Prediction – How to Predict your Future Connections on Facebook appeared first on Analytics Vidhya. Graphs & Networks Intermediate Machine Learning Project Python Social Media Supervised Technique Unstructured Data Graph theory LightGBM Link Prediction node2vec Social Media Analytics

Seasonal stock control trends: Do you have your products ready?


This time of year many businesses are dealing with seasonal demands and stock control.

Sales 169

Methods of Study Design – Experiments

Data Science 101

We all are familiar with experiments , we read about them in books or newspapers. Researchers/ scientists perform experiments to validate their hypothesis/ statements or to test a new product.

Latest AI Trends You Should Watch Out for This 2020


Artificial Intelligence is new, fast-moving, and least predictable; for the field is still unraveling itself. Accenture report on AI is among the more recent ones to assert AI hold huge promises for businesses and AI professionals. The report shows by 2035, AI will become a $14 trillion economy.

Embedding Operational Reports: Everything Product Managers Should Know

Speaker: Dean Yao, Sr. Director of Product Marketing, Logi Analytics

Businesses are run with analytics - but companies continue to struggle with interpreting, analyzing, and distributing data. Operational reports help get information to the people who need it most, in formats they understand, and in a timeframe that matters. Join the webinar to learn how embedding operational reports can give your users a precisely formatted, ready-to-analyze view of their operational activities. World-class software teams are embedding operational reports to empower end users with interactive data visualizations, detailed information, and highly precise formats that can be shared via email, PDF, print, or online.

7 Steps to a Job-winning Data Science Resume


A resume plays a key role in bagging that dream data science job. We break down the nuances of a job-winning data science resume so that you can go ahead and transform your own resume. 2020 Jan Opinions Career Advice Careers Data Science

The Innovator’s Dilemma in Financial Services Data


Life at the top of the food chain is more precarious than it seems for enterprises in the financial services industry. Data and Analytics

Building Machine Learning Pipelines and AI in Retail – A Powerful Interview with Rossella Blatt Vital

Analytics Vidhya

Overview How do machine learning pipelines work? What’s the role of AI in retail? How important is ethics in this field? We are thrilled. The post Building Machine Learning Pipelines and AI in Retail – A Powerful Interview with Rossella Blatt Vital appeared first on Analytics Vidhya. Interviews Leadership Retail Stories AI in retail AI project AI thought leader machine learning expert machine learning pipeline machine learning project thought leader

How do businesses make decisions with BI?


By utilizing a fact-based, real-time, singular version of the truth, companies are now empowered to achieve and maintain a competitive edge through the use of industry specific business intelligence. Executives have immediate access to crucial information to make fast and educated decisions.

Your 2-Part Metrics Audit for High-Value Products

Speaker: Sam McAfee, Product Development Consultant, Startup Patterns

You know what they say: what's measured improves. As product managers we're in a golden age of being able to get all sorts of metrics and run all sorts of experiments. But what are your measurements and analytics focused on? Are they really truly objective? Do they contribute to the ultimate vision of your product? And is everybody clear on that vision? Join Sam McAfee, Product Development Consultant, as he takes you through a two-part measurement audit. First, you'll learn how to make sure your measurements actually align with your product strategy. And second, you'll learn how to evaluate your culture of using measurements, so future experiments will more consistently provide high-value results.

Periscope Data Is now Sisense for Cloud Data Teams


Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Uniting to empower data analytic teams.

Will Big Data Kill Insurtech?


For decades, insurance had a reputation for being antiquated and resistant to change. But with technological disruption shaking things up across all industries, even the insurance companies had to give him. The result?

Schema Evolution in Data Lakes


Whereas a data warehouse will need rigid data modeling and definitions, a data lake can store different types and shapes of data. In a data lake, the schema of the data can be inferred when it’s read, providing the aforementioned flexibility. However, this flexibility is a double-edged sword.

Aussie Data Stories #1 Improving Financial Well-Being with CBA


Bringing together a collection of stories to celebrate success and to further drive and inspire data innovation in Australia. With a unique data story around financial wellbeing, Andrea Nicastro, Data Scientist at Commonwealth Bank took us through their journey.

Top 10 industries for monetizing data: Is yours one of them?

Find out which industries, use cases, and business applications are the best opportunities for data monetization. Understand what data is being monetized, who wants it, and why. Use data you already own to create new revenue sources. Download the eBook today!