- How AI/ML Technology Integration Will Help Business in Achieving Goals in 2022 - Dec 29, 2021.
AI/ML systems have a wide range of applications in a variety of industries and sectors, and this article highlights the top ways AI/ML will impact your small business in 2022.
AI, Business, Machine Learning
- 12 Tips: From Data Analyst to Startup Co-Founder - Dec 14, 2021.
Thinking about taking your data science expertise to a new level of creating a start-up company? These tips -- learned from experience -- can help you forge an early path toward success.
Business, Career, Data Science, Startup
- eBook: 101 Ways to Use Third-Party Data to Make Smarter Decisions - Nov 18, 2021.
To guide you in becoming a data-driven organization, AWS Data Exchange has created a new eBook, 101 Ways to Use Third-Party Data to Make Smarter Decisions. Learn how to transform the ‘currency’ of data into actionable business insights.
AWS, Business, Free ebook
- Amazon Web Services Webinar: Leverage data sets to create a customer-centric strategy and improve business outcomes - Oct 14, 2021.
Register now for this webinar, Oct 28, to learn how using third-party data enhances applications to better prioritize your target customer - helping you build a more customer-centric business.
AWS, Business, Customer Analytics, Webinar
- How I Built A Perfect Model And Got Into Trouble - Oct 12, 2021.
Data-driven decisions, actionable insights, business impact—you've seen these buzzwords in data science jobs descriptions. But, just focusing on these terms doesn't automatically lead to the best results. Learn from this real-world scenario that followed data-driven indecisiveness, found misleading insights, and initially created a negative business impact.
Analytics, Business, Customer Analytics, Finance, KPI, Metrics
- How to solve machine learning problems in the real world - Sep 2, 2021.
Becoming a machine learning engineer pro is your goal? Sure, online ML courses and Kaggle-style competitions are great resources to learn the basics. However, the daily job of a ML engineer requires an additional layer of skills that you won’t master through these approaches.
Advice, Business, Data Quality, Machine Learning, SQL, Tips, XGBoost
- Data Monetization 101 - Jul 30, 2021.
The evolving marketplace of data now includes many firms that support a variety of needs from organizations looking to grow with data. This listing of the key players categorized by target market provides an interesting picture of this exciting industry sector.
Big Data, Business, Business Intelligence, Data Monetization, Monetizing
- How a Polytechnic Helps You Make the Tech-Business Connection - Jun 16, 2021.
WPI welcomes professionals of all levels to its 100% online MS in Business Analytics — no GRE or GMAT required. Get started here.
Business, MS in Business Analytics, Online Education, WPI
- Choosing the Right BI Tool for Your Business - May 28, 2021.
Here are six questions to ask as you search for the best BI tool for your specific needs.
BI, Business, Business Intelligence, Tools
- AI Books you should read in 2021 - May 27, 2021.
As of late, every year seems to be a "break-out" year for AI. So, it's time for you to get ready for the future in the age of automation. This collection of books will help you prepare for the many opportunities to come, many of which may not have yet been imagined.
AGI, AI, Books, Business, China, Singularity
- 6 Business Trends Benefiting Data Scientists - May 21, 2021.
Here are six business trends making data scientists even more in-demand.
Business, Data Science, Data Scientist, Trends
- Data Analysis Using Tableau - Apr 20, 2021.
Read this overview of using Tableau for sale data analysis, and see how visualization can help tell the business story.
Business, Data Analysis, Ecommerce, Python, Sales, Tableau
- 7 Must-Haves in your Data Science CV - Apr 13, 2021.
If you are looking for a new role as a Data Scientist -- either as a first job fresh out of school, a career change, or a shift to another organization -- then check off as many of these critical points as possible to stand out in the crowd and pass the hiring manager's initial CV screen.
Business, Career Advice, Data Scientist, Machine Learning
- E-commerce Data Analysis for Sales Strategy Using Python - Apr 7, 2021.
Check out this informative and concise case study applying data analysis using Python to a well-defined e-commerce scenario.
Business, Data Analysis, Ecommerce, Python, Sales
- Forecasting Stories 5: The story of the launch - Feb 18, 2021.
New products forecasting can be very difficult - there is no history to start with, and hence no base line. The number of assumptions can be huge. The best way to forecast then, is to try parallel approaches, build different views and triangulate on a common range.
Analytics, Business, Forecasting
- Who is fit to lead data science? - Feb 9, 2021.
Data science success depends on leaders, not the latest hands-on programming skills. So, we need to start looking for the right leadership skills and stop stuffing job postings with requirements for experience in the most current development tools.
Business, Career Advice, Data Leadership, Data Science, Data Scientist, TensorFlow
- Backcasting: Building an Accurate Forecasting Model for Your Business - Feb 5, 2021.
This article will shed some light on processes happening under the roof of ML-based solutions on the example of the business case where the future success directly depends on the ability to predict unknown values from the past.
Business, Forecasting, Modeling
- One question to make your data project 10x more valuable - Feb 1, 2021.
If you are the "data person" for your organization, then providing meaningful results to stakeholder data requests can sometimes feel like shots in the dark. However, you can make sure your data analysis is actionable by asking one magic question before getting started.
Advice, Business, Data Analysis, Data Mining, Data Science, Deployment, Problem Definition
- Applications of Data Science and Business Analytics - Dec 15, 2020.
In recent times, a large number of businesses have begun realising the potential of Data Science. Business analytics and data science applications are far and wide. So let us have a look at them in detail.
Applications, Business, Data Science, Genomics, Great Learning, Search, Virtual Assistant
- 6 Things About Data Science that Employers Don’t Want You to Know - Dec 14, 2020.
As is the potential for any "trending hot" career, the reality of a position in the field may not be all that you initially expected. Data Science is no exception, and being still a young field, its evolving definition can offer some surprises that you should know about before accepting that dream offer.
Business, Career Advice, Communication, Data Science, Data Scientist, SQL
- The 4 Stages of Being Data-driven for Real-life Businesses - Nov 27, 2020.
Building a new company or transforming an existing one into a data-driven enterprise is a growing process through multiple stages that takes time. The challenge is progressing into the next stage and, having attained the goal, maintaining a company culture that can remain there.
Business, Data-Driven Business
- Machine Learning’s Greatest Omission: Business Leadership - Oct 15, 2020.
Eric Siegel's business-oriented, vendor-neutral machine learning course is designed to fulfill vital unmet learner needs, delivering material critical for both techies and business leaders.
Business, Data Leadership, Eric Siegel, Machine Learning
- 6 Lessons Learned in 6 Months as a Data Scientist - Oct 8, 2020.
When transitioning into a Data Science career, a new mindset toward collaboration, data, and reporting is required. Learn from these recommendations on approaches you should consider to successfully develop into your dream job.
arXiv, Business, Career Advice, Data Scientist, Deployment, GitHub, Podcast
- Data Scientists think data is their #1 problem. Here’s why they’re wrong. - Sep 4, 2020.
We tend to think it's all about the data. However, for real data science projects at real organizations in real life, there are more fundamental aspects to consider to do data science right.
Business, Data Science, Mistakes, Problem Definition
- Data is everywhere and it powers everything we do! - Aug 28, 2020.
In this article I would like to focus on how companies can start their data-centric strategies and how to achieve success in their data transformation journeys. Have tried to share my thoughts why companies have to consider data at its epitome for their growth, for being competitive, for being smarter, innovative and be prepared for any unforeseen market surprises.
Analytics, Business, Data Science
- 3 Key Data Science Questions to Ask Your Big Data - Jun 3, 2020.
The process of understanding your data begins by asking 3 questions at the highest level, and then iteratively asking hundreds of cascading questions to get deeper insights.
Big Data, Business, Customer Analytics, Data Science, Metrics
- Successful Use Cases of Artificial Intelligence for Businesses - Apr 10, 2020.
AI is contributing to the businesses in a huge way. For specifics, check out these successful use cases of AI for business.
AI, Business, Use Cases
- How Bad Data is Affecting Your Organization’s Operational Efficiency - Mar 5, 2020.
Despite recognizing the importance of data quality, many companies still fail to implement a data quality framework that could protect them from making costly mistakes. Poor data does not just cause revenue loss – it’s the reason your company could lose employees, customers and reputation!
Business, Data Management, Data Operations, Data Quality, Efficiency
- Top 7 Location Intelligence Companies in 2020 - Jan 24, 2020.
Here’s a complete list of top 7 location intelligence companies in the market - an overview, pricing, pros, and cons that’ll help you identify the right location intelligence tool for your business.
Business, Geo-Localization, Location Analytics
- How to Measure Foot Traffic Using Data Analytics - Oct 23, 2019.
You need to know how many people visit your store now and what sort of audience you're acquiring. Foot traffic data is going to be invaluable to the success of your business.
Business, Data Analytics, Traffic
- The Four Levels of Analytics Maturity - Mar 26, 2019.
We outline our four-step model to categorize how successfully a company uses analytics by its ability to show the analytics, uncover underlying trends, and take action based on them.
Analytics, Business, Deployment, Performance, Visualization
- Data Science Strategy Safari: Aligning Data Science Strategy to Org Strategy - Nov 26, 2018.
The title of this post is derived by drawing inspiration from Mintzberg’s seminal work. In this post, I am attempting to take you on a safari through the data science strategy formulation process.
Business, Data Science, Strategy
- Data Science “Paint by the Numbers” with the Hypothesis Development Canvas - Nov 2, 2018.
Now you are ready to take the next step from a Big Data MBA perspective by building off of the Business Model Canvas to flesh out the business use cases – or hypothesis – which is where we can become more effective at leveraging data and analytics to optimize our the business.
Big Data, Business, Data Science
- Reinforcement Learning: The Business Use Case, Part 2 - Aug 16, 2018.
In this post, I will explore the implementation of reinforcement learning in trading. The Financial industry has been exploring the applications of Artificial Intelligence and Machine Learning for their use-cases, but the monetary risk has prompted reluctance.
Business, Finance, Machine Learning, Reinforcement Learning, Use Cases
- Reinforcement Learning: The Business Use Case, Part 1 - Aug 9, 2018.
At base, RL is a complex algorithm for mapping observed entities and measures into some set of actions, while optimizing for a long-term or short-term reward.
Business, Machine Learning, Reinforcement Learning, Use Cases
- Data Science For Business: 3 Reasons You Need To Learn The Expected Value Framework - Jul 26, 2018.
This article highlights the importance of learning the expected value framework in data science, covering classification, maximization and testing.
Business, Business Value, Data Science, H2O
- The 4 Levels of Data Usage in Data Science - Jul 9, 2018.
This is an overview of the 4 levels, or "buckets," of data usage in business, starting at monitoring and progressing to automation.
Automation, Ben Lorica, Business, Data Science, O'Reilly
- Scientific debt – what does it mean for Data Science? - May 23, 2018.
This article analyses scientific debt - what it is and what it means for data science.
Business, Data Engineering, Data Science, DataCamp, Technical Debt
- The Executive Guide to Data Science and Machine Learning - May 10, 2018.
This article provides a short introductory guide for executives curious about data science or commonly used terms they may encounter when working with their data team. It may also be of interest to other business professionals who are collaborating with data teams or trying to learn data science within their unit.
Big Data, Business, Data Science, Machine Learning
Data Science vs Machine Learning vs Data Analytics vs Business Analytics - May 1, 2018.
This article gives a broad overview of data science and the various fields within it, including business analytics, data analytics, business intelligence, advanced analytics, machine learning, and AI.
AI, Business, Business Analytics, Data Analytics, Data Science, Machine Learning
How to build a Successful Advanced Analytics Department - Jan 4, 2018.
This article presents our opinions and suggestions on how an Advanced Analytics department should operate. We hope this will be useful for those who want to implement analytics work in their company, as well as for existing departments.
Pages: 1 2
Analytics, Analytics Team, Business, Data Science Team, Gartner, KPI
70 Amazing Free Data Sources You Should Know - Dec 20, 2017.
70 free data sources for 2017 on government, crime, health, financial and economic data, marketing and social media, journalism and media, real estate, company directory and review, and more to start working on your data projects.
Big Data, Business, Crime, Datasets, Finance, Government, Health, Journalism, Octoparse, Social Media
- Business intuition in data science - Oct 24, 2017.
Data Science projects are not just use of algorithms & building models; there are other steps of the project which are equally important. Here we explain them in detail.
Pages: 1 2
Business, Business Analytics, Data Science
- Applied Data Science: Solving a Predictive Maintenance Business Problem - Oct 5, 2017.
The use case involved is to predict the end life of large industrial batteries, which falls under the genre of use cases called preventive maintenance use cases.
Pages: 1 2
Business, Data Science, Predictive Maintenance
Putting the “Science” Back in Data Science - Sep 6, 2017.
The scientific method to approach a problem, in my point of view, is the best way to tackle a problem and offer the best solution. If you start your data analysis by simply stating hypotheses and applying Machine Learning algorithms, this is the wrong way.
Business, Data Science, Machine Learning, Process, Rubens Zimbres
What is the most important step in a machine learning project? - Aug 18, 2017.
In any machine learning project, business understanding is very important. But in practice, it does not get enough attention. Here we explain what questions should be asked.
Business, CRISP-DM, Machine Learning, Methodology
- What Is Optimization And How Does It Benefit Business? - Aug 10, 2017.
Here we explain what Mathematical Optimisation is, and discuss how it can be applied in business and finance to make decisions.
Business, Credit Risk, Decision Making, Optimization
Top mistakes data scientists make when dealing with business people - Apr 13, 2017.
There are no cover articles praising the fails of the many data scientists that don’t live up to the hype. Here we examine 3 typical mistakes and how to avoid them.
Business, Data Scientist, Mistakes, Skills
- How To Stay Competitive In Machine Learning Business - Jan 4, 2017.
To stay competitive in machine learning business, you have to be superior than your rivals and not the best possible – says one of the leading machine learning expert. Simple rules are defined here to make that happen. Let’s see how.
Business, Business Analytics, Data Management, Machine Learning, Research
- Here’s How IT Departments are Using Big Data - Oct 10, 2016.
The use cases for big data are clear when it comes to areas like marketing, healthcare, and retail, but IT’s use of big data is a little less clear. Recently, however, some IT departments are finding ways to use big data to improve their individual operations along with that of the entire organization.
Big Data, Business
- How To Become a Data Scientist And Get Hired - May 1, 2015.
A data scientist should be able to choose the right technology, understand the business context and solve a wide range of problems. To hire the the right data scientist, check the tips list in the post.
Business, Data Scientist, Hiring, Salary
- Hiring Data Scientists: What to look for? - Sep 9, 2014.
Know key characteristics of what makes up a good data scientist based upon the three authors’ consulting and research experience, having collaborated with many companies world-wide on the topics of big data and analytics.
Analytics, Big Data, Business, Data Mining, Data Scientist, Hiring, Programming, Skills, Statistics
