Customer Journey Mapping: The data-driven approach to understanding your users
Businesses across the globe are on a mission to know their customers inside out - something commonly referred to as customer-centricity.…
Article series: 5 Clean Coding Tips – 2. Name Variables in a Meaningful Way
This is the second of the article series "5 tips for clean coding" to follow as soon as you’ve made the first steps into…
How Important is Customer Lifetime Value?
This is the third article of article series Getting started with the top eCommerce use cases. If you are interested in reading…
Matrix search: Finding the blocks of neighboring fields in a matrix with Python
Task
In this article we will look at a solution in python to the following grid search task:Find the biggest block of…
Customer Journey Mapping: The data-driven approach to understanding your users
/0 Comments/in Business Analytics, Customer Analytics, Uncategorized /by Tap LondonBusinesses across the globe are on a mission to know their customers inside out – something commonly referred to as customer-centricity. It’s an attempt to better understand the needs and wants of customers in order to provide them with a better overall experience. But while this sounds promising in theory, it’s much harder to achieve […]
Article series: 5 Clean Coding Tips – 2. Name Variables in a Meaningful Way
/0 Comments/in Python, Tool Introduction, Tutorial /by Emilia CheladzeThis is the second of the article series “5 tips for clean coding” to follow as soon as you’ve made the first steps into your coding career, in this article series. Read the introduction here, to find out why it is important to write clean code if you missed it. When it comes to naming […]
How Important is Customer Lifetime Value?
/0 Comments/in Data Mining, Data Science, Experience, Insights, Tutorial, Use Cases /by Aakash ChughThis is the third article of article series Getting started with the top eCommerce use cases. If you are interested in reading the first article you can find it here. Customer Lifetime Value Many researches have shown that cost for acquiring a new customer is higher than the cost of retention of an existing customer which makes […]
Matrix search: Finding the blocks of neighboring fields in a matrix with Python
/1 Comment/in Mathematics, Python, Tutorial /by Emilia CheladzeTask In this article we will look at a solution in python to the following grid search task: Find the biggest block of adjoining elements of the same kind and into how many blocks the matrix is divided. As adjoining blocks, we will consider field touching by the sides and not the corners. Input data […]
5 Applications for Location-Based Data in 2020
/0 Comments/in Data Science, Uncategorized /by Kaylae MatthewsLocation-based data enables giving people relevant information based on where they are at any given moment. Here are five location data applications to look for in 2020 and beyond. 1. Increasing Sales and Reducing Frustration One 2019 report indicated that 89% of the marketers who used geo data saw increased sales within their customer bases. Sometimes, […]
Integrate Unstructured Data into Your Enterprise to Drive Actionable Insights
/0 Comments/in Big Data, Data Engineering, Data Mining, Data Science, Main Category /by Tehreem NaeemIn an ideal world, all enterprise data is structured – classified neatly into columns, rows, and tables, easily integrated and shared across the organization. The reality is far from it! Datamation estimates that unstructured data accounts for more than 80% of enterprise data, and it is growing at a rate of 55 – 65 percent […]
Introduction to Recommendation Engines
/0 Comments/in Big Data, Data Science, Database, Graph Database, Machine Learning, Neo4J, Python, Tutorial, Use Case /by Aakash ChughThis is the second article of article series Getting started with the top eCommerce use cases. If you are interested in reading the first article you can find it here. What are Recommendation Engines? Recommendation engines are the automated systems which helps select out similar things whenever a user selects something online. Be it Netflix, […]
Six ways process mining in 2020 can save your business transformation
/0 Comments/in Process Mining /by SignavioThe lack of information about existing processes kills 70% of large transformation projects and around 50% of RPA projects…alarming statistics. Triggering this failure rate is a lack of understanding about existing processes, and the disconnect between the discovery, visualization, analysis, and execution of existing data. So, banish the process guesswork! Utilizing process mining technology unlocks […]
5 Things You Should Know About Data Mining
/0 Comments/in Data Mining, Uncategorized /by Halley JohnsonThe majority of people spend about twenty-four hours online every week. In that time they give out enough information for big data to know a lot about them. Having people collecting and compiling your data might seem scary but it might have been helpful for you in the past. If you have ever been […]
Python vs R: Which Language to Choose for Deep Learning?
/0 Comments/in Data Mining, Data Science, Insights, Python, R Statistics /by Deep MoteriaData science is increasingly becoming essential for every business to operate efficiently in this modern world. This influences the processes composed together to obtain the required outputs for clients. While machine learning and deep learning sit at the core of data science, the concepts of deep learning become essential to understand as it can help […]