Explorium's Data Insights Blog
Where data, marketing, and sales professionals come together
How to incorporate an External Data Platform into your data management strategy
Organizations today focus on generating insights based on their internal data sources such as their CRM tools and data warehouses. To most organization’s, the value of data that comes from outside their four walls is clear, however finding the right external datasets can be a challenge. The amount of big data available is overwhelming; it […]
External Data Platforms as Part of the Modern Data Stack
A modern data stack, or a modern data architecture, is a suite of tools that helps businesses manage, integrate, and analyze their data to proactively uncover new areas of opportunity and improve efficiency. Data infrastructure is typically focused on internal data sources across disparate segments – data warehouses, data lakes, and databases. An organization’s data […]
eCommerce Data
What is eCommerce data? eCommerce data provides information collected from the eCommerce industry – online retail sites – about products, pricing, sales performance, and customers. Companies with an online retail presence use the data to gain insights into customer behavior and improve their experience. Online businesses and eCommerce retailers leverage eCommerce data to understand how […]
Consumer Identity Data
What is consumer identity data? Consumer identity data presents information about a device ID or model connected with a consumer profile. It is used to enrich customer data and customer profiles by monitoring their behavior, such as the channels and apps used (often with the use of third-party cookies). Where does the data come from? […]
How Marketers Can Predict Customer Behavior Using External Data
Using the right data signals to boost eCommerce sales eCommerce businesses today recognize that predictive analytics – a discipline that helps marketers use customer data to improve personalization, understand user behavior, and anticipate customer needs – has the power to drive significant business growth. In the present climate, specifically post-pandemic, historical data is insufficient predict […]
5 Reasons Why Feature Engineering is Challenging
Feature engineering is an important part of leveraging big datasets. Even with the right technical skills and domain knowledge, it can still be a time consuming process. This blog article will go over feature engineering, the five biggest challenges associated with it, and how automated feature engineering can help. What is feature engineering? Turning data […]
Foundations of Machine Learning: From Classification to Evaluation
Machine Learning and its evaluation are foundational to modern technological advancements. As we delve into the intricate world of algorithms and data, understanding core concepts is paramount. Whether it’s the nuanced art of classification or the precise science of validation, each element plays a pivotal role in crafting robust and efficient models. The journey through […]
Powering Your Business With External Data
How External Data Can Elevate Data Analytics and Machine Learning To New Heights Data is valuable. It helps uncover valuable insights, understand the customer experience, analyze their exposure to risk, and assess the success of evolving business models. Ultimately, the right data helps drive better business decisions. A few months ago, we hosted a session […]
What is Explainable Artificial Intelligence, and why is it important for predictive models?
An introduction to AI explainability; why should you trust your model? Explainable artificial intelligence (XAI) is the process of understanding how and why a machine learning model makes its predictions. It can also help machine learning (ML) developers and data scientists to better understand and interpret a models’ behavior. A major challenge for machine learning […]
Banking, Risk Management, and AI
If you missed the fascinating “Banking, Risk Management, and AI” panel at the Ai4 virtual conference, read on for a quick summary of what was discussed. Understanding and managing risk is crucial for banks and financial institutions. As the financial services industry becomes more data driven, artificial intelligence is playing a powerful role in the […]
How to start data analytics from scratch
3 steps to instantly generate audiences Are you eager to start an analytics project, but don’t think you have the data you need? Get going quickly with Explorium and instantly generate audiences to kick off projects such as: Creating lead lists (for sales and marketing campaigns) Data analysis and advanced business analytics programs Business Intelligence […]
Tools and Techniques for Effective Data Acquisition and Analysis
In the vast expanse of today’s digital universe, data is both a beacon of opportunity and a formidable challenge. Much like explorers navigating the uncharted waters of old, modern businesses sail through seas of data, seeking insights to guide their course. However, transforming this endless stream of information into actionable knowledge isn’t straightforward. It demands […]
The Guide to External Data and Machine Learning for Consumer Insights
How the right external data can fuel machine learning for consumer insights. The consumer goods industry has changed significantly in the past few decades, fueled by increasing technological development and constantly changing consumer habits. The pandemic disrupted supply chains and upended the retail market, forcing many smaller shops and convenience stores to close, move, or […]
B2B Contact Data
What is B2B contact data? B2B contact data is the business contact information of employees, including job titles, email id, and phone numbers. This data is part of sales intelligence and facilitates B2B sales activities. B2B contact data may also provide contact details of the key decision-makers (such as C-level executives) to establish the first […]
Data Matching
Data Matching Definition Data matching, also known as record linkage, refers to the process of comparing two sets of collected data, typically via advanced machine learning algorithms or by programmed loops. The processes sequentially compare each individual data point in a set to each individual data point in another set, or compare each data string […]
Weather Data
What is weather data? Weather data provides information about the weather and climate of a region. It tracks patterns and predicts trends. Weather refers to short-term atmospheric conditions of a region and can include indicators such as minimum /maximum temperature, humidity, or wind speed. Climate is the weather of a region averaged over a long […]
Data Enrichment – A Complete Introduction
What is Data Enrichment? Data fuels modern businesses and enables leaders to make precise, evidence-based decisions rather than guessing or speculating. Many organizations are preparing for the future by acknowledging that data is unstructured and diverse, and that there is a need for data enrichment, discovery, cleaning, structuring, and validating. Data enrichment is a critical […]
Consumer Lifestyle Data
What is consumer lifestyle data? Consumer lifestyle data provides intelligence on the lifestyle characteristics of consumers, including habits, interests, hobbies, political affiliations, and attitudes. This data helps with customer lifestyle segmentation based on age group, gender, location, and income range. This data delivers consumer insights into how they spend their time, their consumption patterns, social […]
