Prescriptive Data

A custom integrated data analytics solution would cost at least $150,000-200,000 to build and implement.

Top 5 Factors Behind Data Analytics Costs

What is Data Analytics and How It Can  Be Used

Fostering a culture of data-thinking and data-practice within your company can be a daunting endeavor for many. If you are an established company with years of experience, then nudging your current team and culture towards one that includes more <a href="https://hackernoon.com/tagged/data" target="_blank">data</a> and analysis can be a hard adjustment and one that takes a long time. If you are a new company, then embarking on that path with the pressure of setting the right course — while resources are tight — is all the more <a href="https://hackernoon.com/tagged/stressful" target="_blank">stressful</a>.

“Data-driven” versus “data-informed”

Explore how datasheets for datasets can enhance transparency, reduce bias, and improve outcomes in machine learning models.

Standardizing Dataset Documentation to Improve Machine Learning Outcomes

Every business has its goals and the path to attaining those goals usually lies in data, it’s why our data is so important today.

Data Analytics 101: Your First Steps Into a Data-Driven World

Already routinely called the currency, the lifeblood, and the new oil of the modern business world, data promises organizations unbeatable competitive advantages. 

Building a Data Management Strategy: Importance, Principles, Roadmap

 From real-time cybercrime mapping to penetration testing, machine learning has become a crucial part of cybersecurity.  Here's how.

Machine Learning in Cybersecurity: 5 Real-Life Examples

Data is everywhere. In the business world alone, we use it to track search engine traffic, monitor website activity, land sales, improve customer service.

How Data-Driven Coaching Helps Employees Reach Their Potential

To analyze data adequately requires practical knowledge of the different forms of data analysis.

7 Data Analysis Steps You Should Know

The pandemic is having an enormous impact on the healthcare sector. Between overwhelming hospitalization rates, intensifying cybersecurity threats, and an aggravating number of mental illnesses due to strict lockdown measures, hospitals are desperately searching for help. Big data in healthcare seems like a viable solution. It can proactively provide meaningful, up-to-date information enabling clinics to address pressing issues and prepare for what’s coming.Hospitals are increasingly turning to big data development service providers to make sense of their operational data. According to Healthcare Weekly, the global big data market in the healthcare industry is expected to reach $34.3 billion by 2022, growing at a CAGR of 22.1%.So, what is the role of big data analytics in healthcare? Which challenges to expect? And how to set yourself up for success?

What is Big Data in Healthcare and How is it Used?

Only 33% of global supply chain leaders have implemented comprehensive analytics, ERP system upgrades.

Top 5 Myths About Supply Chain Digital Transformation (and What the Data Really Says)

Explore the code behind the chaos of global logistics. Discover automation strategies to manage unpredictable supply chains and build resilient systems.

The New Stack of Logistics: Predictive, Prescriptive, Event-Driven

Alex Holloway discusses Building a Data Strategy: Aligning Data with Business Goals for Maximum Impact

Building a Data Strategy: Aligning Data With Business Goals for Maximum Impact

Explore the transformative landscape of enterprise data intelligence, merging big data, machine learning, and more for streamlined decision-making.

Understanding Enterprise Data Intelligence: From Collection to Insight

Learn everything you need to know about Data Analytics via these 229 free HackerNoon stories.

229 Stories To Learn About Data Analytics

Revolutionizing Data Analytics with AI: A Seven-Step Odyssey 

Dataism suggests that the entire universe can be interpreted as data flows and that all phenomena, including human behaviour, can be reduced to data processes. 

Dataism: Idea or Ideology?

Interview discussing the legal and privacy challenges in the blockchain industry.

Cracking the Code: Addressing Data Privacy and Legal Challenges in the Blockchain Industry

Big data analytics has been a hot topic for quite some time now. But what exactly is it? Find out here.

Big Data Analysis for the Clueless and the Curious

Healthcare providers deal with a lot of data. This data is often stored across a variety of legacy systems that don't communicate with one another that well. Not only do data discrepancies eat up medics' time (think: nine hours per week), but they also influence the quality of care. You know it better than anyone: drawing a complete picture of what a patient has and is experiencing health-wise is the first step toward correct diagnosing and effective treatment.To fend off healthcare data disparities, medical organizations have long been turning to data management and data analytics providers. The aim? Bring siloed data together into single, consolidated storage — a healthcare data warehouse — and use it to draw insights.This blog post covers vital aspects of adopting a data warehouse in healthcare, zooming in on its technical characteristics, highlighting the value a centralized data storage can drive for medical organizations, and providing a high-level data warehouse implementation roadmap.

Effective Adoption of Data Warehouses in Healthcare: A Complete Guide

Data science has been democratized for the most part. AI is now mainstream! It's no longer the exclusive province of large companies with deep pockets.



What is a Citizen Data Scientist and How Do You Become One?

A world where the future of humanity can be predicted through an interdisciplinary science called psychohistory! A data scientist's review of Foundation Series.

Foundation Series: Data Science, Psychohistory, and the Future of Humanity

The framework will allow you to focus on the business outcomes first and the actions and decisions that enable the outcomes.

Understand Data Analytics Framework Using An Example From General Electric Company

How Data-Driven Agile Helps Deliver Better Software Faster

Nantum is a cloud based, secure building operating system which works in conjunction with IOT sensors and existing Building Management Systems (BMS) to optimize energy consumption and save money while increasing tenant comfort

PRESCRIPTIVE DATA

prescriptivedata.io

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Since 2015

Prescriptive Data's stories on HackerNoon

Top 5 Factors Behind Data Analytics Costs

What is Data Analytics and How It Can Be Used

“Data-driven” versus “data-informed”

Standardizing Dataset Documentation to Improve Machine Learning Outcomes

Data Analytics 101: Your First Steps Into a Data-Driven World

Building a Data Management Strategy: Importance, Principles, Roadmap

Machine Learning in Cybersecurity: 5 Real-Life Examples

How Data-Driven Coaching Helps Employees Reach Their Potential

7 Data Analysis Steps You Should Know

What is Big Data in Healthcare and How is it Used?

Top 5 Myths About Supply Chain Digital Transformation (and What the Data Really Says)

The New Stack of Logistics: Predictive, Prescriptive, Event-Driven

Building a Data Strategy: Aligning Data With Business Goals for Maximum Impact

Understanding Enterprise Data Intelligence: From Collection to Insight

229 Stories To Learn About Data Analytics

Revolutionizing Data Analytics with AI: A Seven-Step Odyssey

Dataism: Idea or Ideology?

Cracking the Code: Addressing Data Privacy and Legal Challenges in the Blockchain Industry

Big Data Analysis for the Clueless and the Curious

Effective Adoption of Data Warehouses in Healthcare: A Complete Guide

What is a Citizen Data Scientist and How Do You Become One?

Foundation Series: Data Science, Psychohistory, and the Future of Humanity

Understand Data Analytics Framework Using An Example From General Electric Company

How Data-Driven Agile Helps Deliver Better Software Faster

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