February, 2020

How Data Leaders Can Become Powerful Agents for Change

Corinium

Promoting data literacy and culture is essential to the success of any digital transformation. Developing analytical skills is like fishing. Giving someone a rod isn’t enough. They must genuinely want to catch a fish if they’re going to learn how to use it.

Why Data Chain of Custody is Essential to Reducing Product Liability Risks

Cloudera

When a market grows as quickly as implantable medical devices , set to top a staggering $153.8 billion by 2026 , the potential risk to patients can rise as well. As implantable medical devices proliferate, so do the number of costly, life-threatening, and reputation-tarnishing recalls.

Risk 99

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Why Data Science is Repairing IT’s Relationship with the Business

Dataiku

This blog post is part of a series of guest publications by Excelion Partners. It’s been growing for years. The rift just keeps getting bigger. There is plenty of blame to go around. Failed projects. Poor requirements. Scope creep. Software product marketing overpromising.

Information Systems Careers Are the New Frontier of Big Data

Smart Data Collective

Are you looking to capitalize off of your knowledge of big data? There are a lot of careers that talented data scientists can pursue. Information systems careers are among the most promising. IBM Big Data and Analytics Hub has talked about some of the biggest changes impacting the world of big data.

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.

Chatbot vs. Intelligent Virtual Assistant: 9 Ways to Tell the Difference

DataFloq

Most businesses today are trying to implement a conversational solution to help improve overall Customer Experience.

7 keys to a successful business intelligence strategy

Phocas

A business intelligence strategy is designed to give you the information you need and in a way that’s actionable on many levels. To be data-driven you’ll need to access, view and collaborate with your data from anywhere.

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Terrifying Big Data Report Shows Anyone Can Get Your Info for $2

Smart Data Collective

Big data is a great asset for countless people all over the world. A growing number of companies are relying on data to deliver more value for their customers. One report shows the market for big data could reach $103 billion in the next seven years. Unfortunately, big data comes with a price.

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.

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.

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 277

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!

Industries using business intelligence

Phocas

Over the last decade, many industries have adopted business intelligence to help them lower costs, improve efficiency, spot trends, and take advantage of new opportunities. Companies who use business intelligence have found that they are better equipped to stay ahead of the competition.

Three Takeaways from CDAO UK 2020

Corinium

How the role of the CDAO is changing, data culture is spreading and organisations are scaling data-driven capabilities dominated the agenda at this year’s conference.

ROI 265

Data in 2020: Ventana Research Agenda

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2020 research agenda for data, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value and improve business outcomes. Data volumes continue to grow while data latency requirements continue to shrink.

5 Open Source Machine Learning Projects to Challenge your Inner Data Scientist

Analytics Vidhya

Overview Start 2020 on the right note with these 5 challenging open-source machine learning projects These machine learning projects cover a diverse range of. The post 5 Open Source Machine Learning Projects to Challenge your Inner Data Scientist appeared first on Analytics Vidhya.

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.

15 Examples Of Financial Graphs And Charts You Can Use For Your Business

datapine

The financial health, flow, and fluidity of your business will ultimately dictate its long-term success, which is why monitoring your money matters carefully, comprehensively, and accurately is absolutely essential.

Top 10 AI Trends To Watch Out in 2020

DataFloq

Global spending on cognitive and AI systems will reach $57.6

7 data trends for mid-market managers in 2020

Phocas

Everyone needs data. For manufacturing , distribution and retail businesses to succeed in today’s competitive market, data analytics has to be in the hands of all business users, from sales and marketing, to operations and logistics­. This will require a major shift in perspective for many companies.

Insurers Under Pressure to Improve Customer Experiences

Corinium

With customers increasingly demanding fast, convenient insurance quotes, the industry’s data leaders are feeling the pressure to develop products, services and experiences fit for the modern age.

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.

Analytics in 2020: Ventana Research Agenda

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2020 research agenda for analytics , continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value from their technology investments and improve business outcomes.

4 Boosting Algorithms You Should Know – GBM, XGBM, XGBoost & CatBoost

Analytics Vidhya

How many boosting algorithms do you know? Can you name at least two boosting algorithms in machine learning? Boosting algorithms have been around for. The post 4 Boosting Algorithms You Should Know – GBM, XGBM, XGBoost & CatBoost appeared first on Analytics Vidhya.

Navigating Your Career in Electrical Engineering in the Big Data Era

Smart Data Collective

Many careers have been heavily impacted by changes in big data. The big data revolution has had a profound effect on healthcare, marketing and many other fields. One of the fields that has been most affected by big data is electrical engineering.

AI, Internet of Things, and Cybersecurity in 2020

DataFloq

If you’ve been paying any attention at all to recent tech news, you’ve definitely heard the terms “Artificial Intelligence,” “Internet of Things,” and “Cybersecurity.” These are undoubtedly the hottest topics in the tech and business world and moving into 2020, they seem to be at a boiling point.

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.

How to master data analytics without a data science degree

Phocas

Many business people want to improve their understanding of data but don’t know where to start.

Data Literacy: A Potential $700m Opportunity for Enterprise Businesses

Corinium

With research showing that data literate enterprises are worth AUD $400-700 million more on average than their rivals, it’s time for data leaders to consider how they can release the value ‘trapped’ within their organisations. If a person can’t read or write, simple, everyday tasks become impossible.

Real-time log aggregation with Apache Flink Part 2

Cloudera

Introduction. We are continuing our blog series about implementing real-time log aggregation with the help of Flink. In the first part of the series we reviewed why it is important to gather and analyze logs from long-running distributed jobs in real-time.

Underfitting vs. Overfitting (vs. Best Fitting) in Machine Learning

Analytics Vidhya

The Challenge of Underfitting and Overfitting in Machine Learning You’ll inevitably face this question in a data scientist interview: Can you explain what is. The post Underfitting vs. Overfitting (vs. Best Fitting) in Machine Learning appeared first on Analytics Vidhya.

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 Big Data Has Changed the Financial Industry

Smart Data Collective

The accessibility and value of consumer data has grown substantially in the past several years.

Cyber Security Attacks To Watch Out For in 2020

DataFloq

Cyber security teams should stay at the front foot to protect their company data and IT structure. This means watching out for all new mutations and similar attacks is important for organizations.

Business intelligence in manufacturing

Phocas

The process of making products is a huge opportunity for data optimization. Raw materials need to be ordered, received, assembled, packaged, and shipped out for sale in the leanest way.

Three Data and Analytics Predictions for 2020

Corinium

Ahead of this week’s Chief Data & Analytics Officers UK conference, Denodo’s Paul Moxon, Hitachi Vantara’s Gwyn Evans and Dataiku’s Nadim Antar give their top predictions for the UK’s data and analytics industry in 2020.

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.