Terminology
Time-series data analysis serves critical functions in most modern industries, and is a powerful method to glean accurate analysis.
Terminology
An EDW is a database that centralizes data from across the business so it can be analyzed and used in decision making.
Terminology
Data platforms are tools that allow businesses to collect, analyze, and present data.
Terminology
When building a database, all data requires some description to help identify its uniqueness, which is where metadata comes in.
Terminology
An ad hoc query is any kind of question you can ask a data system off the top of your head.
Terminology
A query is a question or request for a database written in a code the database can understand, in order to retrieve or modify the correct information.
Terminology
Unlike row-based formats such as CSV, Parquet is a columnar data file storage format.
Terminology
Apache Hadoop is one of the most widely used open source frameworks designed to address the problem of storing and processing big data.
Terminology
Data governance allows organizations to ensure high-quality data through formalized processes for management, monitoring, and control of data assets.
Terminology
ETL is a method to collect raw data from various sources, clean it up, and translate it so it can be used to inform decision making.
Terminology
Lambda architecture processes data through a hybrid combination of batch processing and stream processing.
Terminology
Data lakes and data warehouses are both commonly used for storing data, but there are key differences between the two that make them unique in their own way. Learn which fits your business purposes best and if there is a better solution.
Terminology
The term “data ecosystem” collectively refers to all the programming languages, algorithms, applications, and the general infrastructure used to collect, analyze and store data.
Terminology
Data modeling is a means of creating a conceptual framework for your data in preparation for storage in a data warehouse. The resulting model is a visual representation of the data which maps out the relationships between data, and the rules.
If you’re in the telecom industry, then you know all about its notoriously poor track record with customer experience. This is especially reflected by Net Promoter Score (NPS), a measure of how likely a customer is to recommend your company to their friends.
Does your telecom business truly understand its customers?
Many of us remember when setting up a new workstation meant inserting CD after CD and watching progress bars crawl across the screen. The process was slow, painful, and depended on access to physical media. We didn’t have smartphones to bide our team, either. Thankfully, the software industry has changed dramatically in the last 20 years. And the rise of software as a service (SaaS) is a major part of that.
“Why?” A quintessential question we ask every day, in any context, at any time. And now more than ever, a question we ask of data.
Explore what a true self-service customer experience analytics platform can do for your business.
Learn how Bleacher Report uses Scuba to rapidly gain insights into user behavior, increase conversion and engagement, build satisfaction, and redesign their web and mobile applications.
Learn how Scuba is helping Edmunds enable self-service analytics for business users, analysts and executives - faster than complex SQL-based queries.
One of the largest telecomms in the world set an ambitious goal – to dramatically improve their customer experience. They wanted a real time customer experience analytics solution to tackle changing consumer demands and growing competitive pressures.
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