2020

What Data Analysts Need from Their Leadership

Corinium

Ahead of his appearance at this year’s Chief Data & Analytics Officer Africa conference, Michiel van Staden, Data Analytics Lead: Everyday Banking Growth at Absa, shares three things his experiences to date have taught him about data leadership. The value of data analytics rests on communication.

Business Analytics vs. Data Science – Which Path Should you Choose?

Analytics Vidhya

Introduction “Business Analytics” and “Data Science” – these two terms are used interchangeably wherever I look. But there’s one indisputable fact – both industries. The post Business Analytics vs. Data Science – Which Path Should you Choose?

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12 Marketing Reports Examples You Can Use For Annual, Monthly, Weekly And Daily Reporting Practice

datapine

Let’s face it: every serious business that wants to generate leads and revenue needs to have a marketing strategy that will help them in their quest for profit.

Don't drop the data: Why business intelligence software matters

Phocas

Business intelligence has become this wonderful blanket term to cover a variety of elements. These include the collection, analysis, and reporting of information that relates to all of your business’ activities and operations.

ABCs of Data Normalization for B2B Marketers

Data normalization. It’s not a far stretch to suggest that the topic isn’t exactly what gets marketers excited in their day-to-day workflow. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. In this eBook, we’ll break down the ins and outs of data normalization and review why it’s so critical for your marketing strategies and goals!

Amplifying people I trust on COVID-19

Simply Statistics

Like a lot of people, I’ve been glued to various media channels trying to learn about the latest with what is going on with COVID-19. I have also been frustrated - like a lot of people - with misinformation and the deluge of preprints and peer reviewed material. Some of this information is critically important and some is hard to trust.

Five Modern Data Architecture Trends

David Menninger's Analyst Perspectives

I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data. Here are some of the trends I see continuing to impact data architectures.

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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. Hodler.

Writing Business Cases: 6 Things You Should Know About Identifying Project Benefits

BA Learnings

Business cases are often required to justify the need to launch new products/services, initiate projects or invest funds on business initiatives.

An Introduction to Key Data Science Concepts

Dataiku

Here at Dataiku, we frequently stress the importance of collaboration in building a successful data team. In short, successful data science and analytics are just as much about creativity as they are about crunching numbers, and creativity flourishes in a collaborative environment. Data Basics

Coronavirus Data and Poll Analysis – yes, there is hope, if we act now

KDnuggets

We examine the growth of coronavirus daily cases in most affected countries, and show evidence that social distancing works in reducing the rate of spread.

How to Solve 4 Common Challenges of Legacy Information Management

Speaker: Chris McLaughlin, Chief Marketing Officer and Chief Product Officer, Nuxeo

After 20 years of Enterprise Content Management (ECM), businesses still face many of the same challenges with finding and managing information. Join Chris McLaughlin, CMO and CPO of Nuxeo, as he examines four common business challenges that these legacy ECM systems pose and how they can be addressed with a more modern approach.

A Brief History of Our Future

Corinium

Paul Morley. Datacon Africa DataCon Africa Insights Data and Analytics

An Introduction to Machine Learning Libraries for C++

Analytics Vidhya

Introduction I love working with C++, even after I discovered the Python programming language for machine learning. C++ was the first programming language I. The post An Introduction to Machine Learning Libraries for C++ appeared first on Analytics Vidhya.

Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

When it comes to implementing and managing a successful BI strategy we have always proclaimed: start small, use the right BI tools , and involve your team. We know that the best approach is an iterative and flexible approach, no matter the size of your company, industry or simply a department.

Building the case for data analytics in the aged care sector

Phocas

The pace of change in the aged care sector, combined with processes that are out of alignment with the role and importance of analytics, may threaten operator's ability to meet patient demand and impact the overall quality of care provided.

The 2019 Technographic Data Report for B2B Sales Organizations

In this report, ZoomInfo substantiates the assertion that technographic data is a vital resource for sales teams. In fact, the majority of respondents agree—with 72.3% reporting that technographic data is either somewhat important or very important to their organization. The reason for this is simple—sales teams value technographic data because it makes essential selling activities easier and more efficient.

Asymptotics of Reproducibility

Simply Statistics

Every once in a while, I see a tweet or post that asks whether one should use tool X or software Y in order to “make their data analysis reproducible”. I think this is a reasonable question because, in part, there are so many good tools out there!

Data Lakes Meet Data Warehouses

David Menninger's Analyst Perspectives

In this analyst perspective, Dave Menninger takes a look at data lakes. He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends.

The Rise of Digitalism: Will the Coronavirus Trigger the End of Liberalism?

DataFloq

“Don’t waste a crisis” – M.F. Weiner, 1976. A famous quote that has often been linked to Winston Churchill in the form “Never let a good crisis go to waste”.

Data Science Blogs-R-Us

Rocket-Powered Data Science

I have written articles in many places. I will be collecting links to those sources here. The list is not complete and will be constantly evolving. There are some older blogs that I will be including in the list below as I remember them and find them. Also included are some interviews in which I provided detailed answers to a variety of questions. In 2019, I was listed as the #1 Top Data Science Blogger to Follow on Twitter.

The Time-Saving Power of Intent Data for Sales

By using the power of intent data, capturing buyer interest has become more feasible for sales. Not only that, but using it will save immense time during your workflow; a win-win on all fronts.

10 Quick Tips For Procedure Documentation

BA Learnings

Most software development and process improvement projects involve introducing new ways of working as part of implementation.

COVID-19 Coronavirus Daily Updates in Power BI

Paul Turley

This is a Power BI report that I have developed and published with public access to the web to be shared with anyone who needs access to this information.

Time Series Classification Synthetic vs Real Financial Time Series

KDnuggets

This article discusses distinguishing between real financial time series and synthetic time series using XGBoost. 2020 Mar Tutorials, Overviews Finance R Time Series XGBoost

Data Quality in Financial Institutions

Corinium

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

How ZoomInfo Enhances Your Database Management Strategy

Forward-thinking marketing organizations have continuously invested in a database strategy for enabling marketing processes. Download this ebook to learn how to maintain a strategy that includes refreshed information, database cleanses, and an accurate analysis at the same time.

Hands-On Tutorial to Analyze Data using Spark SQL

Analytics Vidhya

Overview Relational databases are ubiquitous, but what happens when you need to scale your infrastructure? We will discuss the role Spark SQL plays in. The post Hands-On Tutorial to Analyze Data using Spark SQL appeared first on Analytics Vidhya.

Utilize The Potential Of Digital Dashboards In A Business Environment

datapine

“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” – Geoffrey Moore. We live in the age of information. And, as a business, if you use your data wisely, you stand to reap great rewards.

Phocas keen to grow after capital raisings

Phocas

Business intelligence software company Phocas is almost two decades old, profitable and quickly approaching $50 million in revenue, but it believes a cash injection from OneVentures will help it more than double its revenue in the next three years.

An Architecture for Secure COVID-19 Contact Tracing

Cloudera

This post describes an architecture, and associated controls for privacy, to build a data platform for a nationwide proactive contact tracing solution. Background.

How ZoomInfo Enhances Your ABM Strategy

For marketing teams to develop a successful account-based marketing strategy, they need to ensure good data is housed within its Customer Relationship Management (CRM) software. More specifically, updated data can help organizations outline key accounts for their campaigns. And to begin the targeting process, marketing teams must develop an Ideal Customer Profile (ICP) with appropriate firmographic and behavioral data to ensure they’re going after the correct audience.Download this eBook to learn how to start improving your marketing team's data!

You Can’t Plan on AI and ML

David Menninger's Analyst Perspectives

Artificial intelligence (AI) and machine learning (ML) are all the rage right now. Our Machine Learning Dynamic Insights research shows that organizations are using these techniques to achieve a competitive advantage and improve both customer experiences and their bottom line.

IoT in scientific research: putting the limelight on data security

DataFloq

Internet of Things (IoT) enabling devices offer an extensive range of opportunities for scientists working in laboratories. Software solutions revolutionise the laboratory environment, facilitating greater levels of connectivity and efficiency.

IoT 284

Shocking Amount of Data

Rocket-Powered Data Science

50 years after the publication of Alvin Toffler ’s landmark book “ Future Shock “, a new book “ After Shock ” is here.

5 Ways Big Data Is Being Used To Understand COVID-19

Smart Data Collective

Big data can be a tool, a weapon or a currency. Now, amid the COVID-19 pandemic, big data has become a life-saving ally for the health care community. This moment in history is unlike any other — and the value of data in ending it resembles nothing we’ve yet seen.

Design Thinking for Product Teams: Leverage Human Insight Throughout Development

Product teams must increase their exposure hours with customers—seeing and hearing them. Human insights and the design thinking framework can be applied to your development cycle to help you build better products and experiences for your customers.