June, 2019

The quest for high-quality data

O'Reilly on Data

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners.

An Introduction To Data Dashboards: Meaning, Definition & Industry Examples

datapine

“It is a capital mistake to theorize before one has data.”– Arthur Conan Doyle. Data is all around us. According to the EMC Digital Universe study, by 2020, around 40 trillion megabytes – or 40 zettabytes – will exist in our digital landscape. That’s an unfathomable amount of information.

9 Reasons Smart Data Scientists Don’t Touch Personal Data

DataFloq

The production of massive amounts of data as a result of the ongoing ‘Big Data’ revolution has transformed data analysis.

6 Powerful Open Source Machine Learning GitHub Repositories for Data Scientists

Analytics Vidhya

Overview Check out the top 6 machine learning GitHub repositories created in June There’s a heavy focus on NLP again, with XLNet outperforming Google’s. The post 6 Powerful Open Source Machine Learning GitHub Repositories for Data Scientists appeared first on Analytics Vidhya.

Build Product Progress with a Strong Data Culture

Speaker: Nima Gardideh, CTO, Pearmill

Have you ever thought your product's progress was headed in one direction, and been shocked to see a different story reflected in big picture KPIs like revenue? It can be confusing when customer feedback or metrics like registration or retention are painting a different picture. No matter how sophisticated your analytics are, if you're asking the wrong questions - or looking at the wrong metrics - you're going to have trouble getting answers that can help you. Join Nima Gardideh, CTO of Pearmill, as he demonstrates how to build a strong data culture within your team, so everyone understands which metrics they should actually focus on - and why. Then, he'll explain how you can use your analytics to regularly review progress and successes. Finally, he'll discuss what you should keep in mind when instrumenting your analytics.

Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Will you please describe your role at Fractal Analytics? I am the Chief Practice Officer for Insurance, Healthcare, and Hi-Tech verticals at Fractal.

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Data Management on Display at Informatica World 2019

David Menninger's Analyst Perspectives

This year, I attended Informatica World 2019, Informatica's annual user conference. The main focus this year was on the cloud with a heavy does of AI.

Enabling end-to-end machine learning pipelines in real-world applications

O'Reilly on Data

The O’Reilly Data Show Podcast: Nick Pentreath on overcoming challenges in productionizing machine learning models. In this episode of the Data Show , I spoke with Nick Pentreath , principal engineer at IBM.

How to overcome reporting challenges in your business

Phocas

The ability to generate accurate, relevant and timely reports is critical if a company is to remain competitive in today's marketplace. However, as many executives know, traditional (static) reporting methods have a range of shortcomings.

6 Useful Programming Languages for Data Science You Should Learn (that are not R and Python)

Analytics Vidhya

Overview Which programming language should you pick for data science? Here’s a list of 6 powerful ones that are not Python or R These. The post 6 Useful Programming Languages for Data Science You Should Learn (that are not R and Python) appeared first on Analytics Vidhya.

What Is (and Isn’t) Product Management?

Speaker: Steve Johnson, VP of Products, Pragmatic Institute

Product Management is one of the most exciting - and most misunderstood - functions in technical organizations. Is it strategic or tactical? Is it a planning role or a support role? Many product professionals are unclear about what is (and isn't) product management. After all, product management spans many activities from business planning to market readiness. In this session, we’ll examine many product activities and artifacts for product strategy, planning, and growth, and introduce a simple tool that you can use in your organization to clarify the roles of product management and others. Steve Johnson explores the many roles of Product Management in this fun talk focused on why product managers should obsess on problems instead of solutions.

Industry 4.0: 3 Stages of Adoption

Corinium

What are the driving forces behind Industry 4.0? We asked our masterclass Leader, Henrik von Scheel to explain further: Industry 4.0

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Deep Learning: Past and Future

DataFloq

Deep learning is growing in both popularity and revenue. In this article, we will shed light on the different milestones that have led to the deep learning field we know today.

Qlik's shift to SaaS at Qonnections 2019

David Menninger's Analyst Perspectives

Qonnections 2019 is Qlik's annual user conference. Key news from this year's conference centered on acquisitions of Podium Data and Attunity, along with an expansion of certifications on Google Cloud Platform, AWS, and Azure, with the ability to support Red Hat OpenShift.

Bringing scalable real-time analytics to the enterprise

O'Reilly on Data

The O’Reilly Data Show Podcast: Dhruba Borthakur and Shruti Bhat on enabling interactive analytics and data applications against live data.

Dresner Advisory Services’ 2019 Wisdom of Crowds Data Catalog Market Study

The 3rd annual Dresner 2019 Wisdom of Crowds® Data Catalog Market Study explores the strong link between data catalogs and successful BI usage. Learn about the core set of capabilities that make data catalogs critical for self-service analytics.

Take Advantage Of Modern CEO Dashboards – Examples And Templates

datapine

“The only safe ship in a storm is leadership.” – Faye Wattleton. For any business to succeed, it needs purpose, direction, and the resources to grow as well as adapt to the landscape surrounding it – which is why strong leadership is essential.

Top 7 Machine Learning Github Repositories for Data Scientists

Analytics Vidhya

Introduction If I had to pick one platform that has single-handedly kept me up-to-date with the latest developments in data science and machine learning. The post Top 7 Machine Learning Github Repositories for Data Scientists appeared first on Analytics Vidhya.

How Will Timeless Moments Assist Organisations In Gaining Their Competitive Advantage.

Corinium

Customer experience is the only way that organisations are able to gain competitive advantage and hold on to their customers. It is the experience that customers have that will keep them coming back. customer360

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How To Use Big Data to Improve Your Customer Service

DataFloq

Customer experience is everything. Recent research has revealed that 90 percent of buyers are willing to pay a premium for better customer experience. The key is understanding what an improved experience actually means for a customer, however.

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.

How to upload budgets into Phocas ready for FY20

Phocas

A budget is a financial plan for a defined period, normally a year. It greatly enhances the success of any undertaking. As the saying goes, "if you fail to plan then plan to fail." Budgets are an integral part of running any business efficiently and effectively.

What are model governance and model operations?

O'Reilly on Data

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. Our surveys over the past couple of years have shown growing interest in machine learning (ML) among organizations from diverse industries.

8 Examples Of Financial Reports You Can Use For Daily, Weekly, And Monthly Reports

datapine

Regardless of your sector or industry, it’s likely that your financial department is the beating heart of your entire operation. Without financial fluency, it’s difficult for an organization to thrive, which means that keeping your monetary affairs in order is essential.

Build a Machine Learning Model in your Browser using TensorFlow.js and Python

Analytics Vidhya

Overview TensorFlow.js (deeplearn.js) enables us to build machine learning and deep learning models right in our browser without needing any complex installation steps There. The post Build a Machine Learning Model in your Browser using TensorFlow.js and Python appeared first on Analytics Vidhya.

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.

The Rise of Data Analytics in East Africa

Corinium

Over the last eight years the East Africa region has undergone rapid transformation from new Fintech offerings, mobile money, digitalization and growth of digital financial services. CDAO Africa CDAO Africa Insights

8 Industrial IoT Trends of 2019 That Cannot Be Ignored

DataFloq

From manufacturing to the retail sector, the infinite applications of the industrial internet of things are disrupting business processes, thereby improving operational efficiency and business competitiveness.

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Take control with self-service business intelligence

Phocas

Nearly all companies in today’s world have one common goal: keeping the user experience simple. This reduction in size, steps, and clicks does not mean the technology is any less sophisticated — in fact, it’s just the opposite.

One simple chart: Who is interested in Spark NLP?

O'Reilly on Data

As we close in on its two-year anniversary, Spark NLP is proving itself a viable option for enterprise use. In July 2016, I broached the idea for an NLP library aimed at Apache Spark users to my friend David Talby.

Measure the Immeasurable: Beyond Vanity Metrics

Speaker: Sari Harrison, Product Management Instructor, Product School

As a product manager, it's your job to realize your product’s vision by executing your chosen strategy. It’s also your job to deliver value to the business. Ultimately, these two outcomes are aligned so the temptation is to focus primarily on business metrics. Doing this can cause you to lose focus on the real value you are trying to achieve, in favor of moving the vanity metrics such as launches and time spent. Join Sari Harrison, Product Management Instructor at Product School, as she explains how to use immeasurable success criteria along with your more standard KPIs to deliver products that don't just get used a lot, but deliver real value.

How Recruitment Metrics & Dashboards Can Help Improve Hiring New Candidates

datapine

“The competition to hire the best will increase in the years ahead. Companies that give extra flexibility to their employees will have the edge in this area.” ” – Bill Gates.

How do Transformers Work in NLP? A Guide to the Latest State-of-the-Art Models

Analytics Vidhya

Overview The Transformer model in NLP has truly changed the way we work with text data Transformer is behind the recent NLP developments, including. The post How do Transformers Work in NLP? A Guide to the Latest State-of-the-Art Models appeared first on Analytics Vidhya.

Data Driven Digital Transformation

Corinium

Over the last few years, there has been a lot of focus on Digital Transformation, which is not a new concept. In the last decade or so, the focus was on paperless offices, work place mobility, which is what I would classify as Digitization.