January, 2020

CCPA 2020: Getting Your Data Landscape Ready


To all BI professionals, CIOs, CDOs, and everyone else relying on data to run a business: Happy New Year! It’s going to be…interesting. From California’s new data privacy law going into full effect to potential new U.S.


The 12 Rules of DataOps to Avert a DataOops

Kirk Borne

Written by Dr. Kirk Borne. One of my first consulting assignments with my current employer began several years ago. I was part of a team advising a large organization in how to design and implement an enterprise analytics solution group for the organization’s full end-to-end business activities.

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Data Science: Breaking Down The Data Silos


In today’s digitized economy, the capability to utilize data represents a real and indispensable competitive advantage. Organizations are using advanced technologies to unbolt the true value of their data.

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.

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!

Data & The House of Horrors


I remember getting excited when it came time for the carnival coming to town. There was always a positivity and goodwill in the air as families brought their little ones to try out the various rides and share a meal.

IT 195

Top 5 must-have Data Science skills for 2020


The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market.

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Best Dashboard Ideas & Design Examples To Boost Your Business Success


The ability to monitor, visualize, and analyze relevant data gives today’s businesses, across a host of sectors, the power to understand their prospects, make informed decisions, increase efficiencies, and work towards a set of rewarding long term goals.

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.

Build your first Machine Learning pipeline using scikit-learn!

Analytics Vidhya

Overview Understand the structure of a Machine Learning Pipeline Build an end-to-end ML pipeline on a real-world data Train a Random Forest Regressor for. The post Build your first Machine Learning pipeline using scikit-learn! appeared first on Analytics Vidhya.

A Brief History of Our Future


Paul Morley. Datacon Africa DataCon Africa Insights Data and Analytics

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.

Microsoft Introduces Project Petridish to Find the Best Neural Network for Your Problem


The new algorithm takes a novel approach to neural architecture search. 2020 Jan Tutorials, Overviews Algorithms Microsoft Neural Networks


Understand the fundamentals of Delta Lake Concept


You might be hearing a lot about Delta Lake nowadays. Yes, it is because of it’s introduction of new features which was not there in Apache Spark earlier. Why is Delta Lake?If If you check here, you can understand that Spark writes are not atomic and data consistency is not guaranteed.

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.

Why IT managers recommend business intelligence software


Advancements in technology have changed the role of the IT department from that of a cost center to a strategic asset. Modern IT managers are developing strategies that match a company’s vision and goals.

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.

4 Applications of Regular Expressions that every Data Scientist should know (with Python code)!

Analytics Vidhya

Overview Regular Expressions or Regex is a versatile tool that every Data Scientist should know about Regex can automate various mundane data processing tasks. The post 4 Applications of Regular Expressions that every Data Scientist should know (with Python code)! appeared first on Analytics Vidhya.

Data Quality in Financial Institutions


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

I wanna be a data scientist, but… how?


It’s easy to say "I wanna be a data scientist," but. where do you start? How much time is needed to be desired by companies? Do you need a Master’s degree? Do you need to know every mathematical concept ever derived?

IT 114

Establishing More Trust In 2020 With Blockchain


2020 is here. In the last decade, blockchain has garnered the attention of technologists, entrepreneurs and industry stalwarts, leading to experimentation and exploration. Talk about characteristics of blockchain is diminishing and discussion around use cases are soaring.

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.

Get The Most Out Of Smart Business Intelligence Reporting


Big data plays a crucial role in online data analysis , business information, and intelligent reporting. Companies must adjust to the ambiguity of data, and act accordingly.

3 ways advanced data analytics can improve customer service


Quality customer service is the gateway to long-term relationships. By using advanced data analytics you can understand your consumer base, deliver on or exceed expectations and proactively identifying opportunities for improvement.

Pandas Version 1.0 is Out! Top 4 Features Every Data Scientist Should Know

Analytics Vidhya

Overview Singleton scalar for missing values Dedicated datatype for strings Improved output formats and data summaries Introduction There are only a handful of. The post Pandas Version 1.0 is Out! Top 4 Features Every Data Scientist Should Know appeared first on Analytics Vidhya.

Corinium Meets: Quantum Metric Head of Behavioural Research Marina Shapira


Ahead of her presentation at CDAO UK, we spoke with Quantum Metric’s Marina Shapira about predictive analytics, why companies should embrace a culture of experimentation how and CAOs and CXOs can work together effectively. What is behavioural research?

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.

What’s the Current State of Data Governance and Automation?


I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. Defining Data Governance: What Is Data Governance? .

The Data of Self-Tracking: What’s the Future of the Quantified Self?


They seem to be everywhere nowadays: sleep trackers and step trackers, mood monitors and heart rhythm recorders.

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.

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.

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!

Build Your First Text Classification model using PyTorch

Analytics Vidhya

Overview Learn how to perform text classification using PyTorch Understand the key points involved while solving text classification Learn to use Pack Padding feature. The post Build Your First Text Classification model using PyTorch appeared first on Analytics Vidhya.

Data Literacy: A Huge Opportunity for the Healthcare Industry


It’s easy to get excited about the many ways AI and advanced analytics will shape the future of healthcare. But the industry has a way to go before these technologies begin having a significant impact on the health of ordinary Americans.

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

Is AI the game changer of the Aerospace industry?


Artificial Intelligence, Machine Learning, and Big Data are three of the most transforming technologies in the world. All these technologies have the potential to completely revolutionize the way the world functions.

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.