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.

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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.

Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? In which format? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? Can business people create reports via drag and drop? Can operations monitor what’s going on? Will the data lake scale when you have twice as much data? Is your data secure? In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently.

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.

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.

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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.

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.

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.

The Best Sales Forecasting Models for Weathering Your Goals

Every sales forecasting model has a different strength and predictability method. It’s recommended to test out which one is best for your team. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Your future sales forecast? Sunny skies (and success) are just ahead!

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.

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.

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.

Future-Proofing Your Information Governance Strategy

Speaker: Crystal Cao, Lindsey Simon & Lisa Ripley

Join Onna and experts from Quip, Airbnb, and Oracle for this live webinar as they dive into proactive data deletion policies, retention strategies, and legal hold practices that are essential to a modern enterprise information governance strategy.

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.

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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Glossaries of Data Science Terminology

Rocket-Powered Data Science

Here is a compilation of glossaries of terminology used in data science, big data analytics, machine learning, AI, and related fields: Glossary of common Machine Learning, Statistics and Data Science terms. Data Science Glossary on DataScienceCentral. Data Science Glossary.

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.

The North Star Playbook

Every product needs a North Star. In this guide, we will show you the metrics product managers need to tie product improvements to revenue impact. If you are looking for a more-focused, less-reactive way to work, this guide is for you.

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 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.

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 Choose the Best Embedded Analytics Solution to Modernize Your Application

If you are looking to modernize your application to improve competitiveness, then one of the quickest wins you can have is to embed sophisticated analytics that will wow your existing and prospective customers.

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.

28 Sales Reports Examples You Can Use For Daily, Weekly or Monthly Reports

datapine

Using daily and/or weekly sales reports with your team may be the single most powerful action you can take to increase your team’s performance. Don’t believe us? We’ll convince you with an example from another sector – fitness. Let’s say a friend of yours has a goal of losing 10 pounds of fat or gaining 5 pounds of muscle, over the next 2 months. Your friend excitedly tells you their plan, and all of the actions they plan to take to achieve their goal. “I’m

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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Machine Learning for Builders: Tools, Trends, and Truths

Speaker: Rob De Feo, Startup Advocate at Amazon Web Services

Machine learning techniques are being applied to every industry, leveraging an increasing amount of data and ever faster compute. But that doesn’t mean machine learning techniques are a perfect fit for every situation (yet). So how can a startup harness machine learning for its own set of unique problems and solutions, and does it require a warehouse filled with PhDs to pull it off?

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.

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

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.

How Big Data Will Make Or Break Future Smart Cities

Smart Data Collective

In today’s digital age, big data is incorporated into many aspects our daily lives. Big data is essentially massive amounts of data that is used in order to drive strategic decisions.

B2B Pocket Playbook: End-to-End Guide to Sales Enablement

Sales enablement is the strategic process of providing sales teams with the content, guidance, and mentorship needed to engage targeted buyers. It’s all about equipping sales professionals with the tools they need to put their best-selling foot forward. And if sales teams want to continuously sell better -- and faster -- their sales enablement process must have a game-winning strategy. It's time for you to start selling smarter - and hitting your sales number - with the best B2B database in the market. Get started today.