Top Telecom Data APIs, Datasets, and Databases
Find the top commercial Telecom Data sets, feeds and streams.
Global Cell / Carrier / Telco Data Base
|Quality||25% SIM MCC/MNC|
France+ 246 more
|History||12 months of past data available|
|Use Case||Market Research, Competitor Analytics + 3 more|
Broadband Carrier Vision
Wireless Price and Offer Tracking
Mobile technology mix map
Signal Strength Map
Market Vectors Monthly App and Web Usage in Indonesia
Indonesia+ 48 more
|History||16 months of past data available|
|Use Case||Stock Market Predictions, Due Diligence + 3 more|
Cell coverage map
Market Vectors Daily App and Web Usage in Indonesia
Indonesia+ 48 more
|History||16 months of past data available|
|Use Case||Alpha Generation, Benchmarking + 3 more|
Market Vectors Monthly App and Web Usage in Singapore
Singapore+ 48 more
|History||10 months of past data available|
|Use Case||Alpha Generation, Due Diligence + 3 more|
Top Telecom Data Providers, Vendors, and Companies
Find the top Telecom Data aggregators, suppliers, and firms.
The Ultimate Guide to Telecom Data 2020
Learn everything about Telecom Data. Understand data sources, popular use cases, and data quality.
Table of Contents
- What is Telecom Data?
- Who uses Telecom Data and for what use cases?
- What are typical Telecom Data attributes?
- How is Telecom Data collected?
- How to assess the quality of Telecom Data?
- How Telecom Data is typically priced?
- The number #1 challenge with Telecom Data?
- What to ask Telecom Data providers?
What is Telecom Data?
Telecom data is growing at a rapid rate, all because of the deep penetration of mobile phones in our life.
Needless to say, each of these devices generate a large amount of data. Nevertheless, data has always been an integral part of the telecom industry. It is ingrained into its DNA – from the time you get a new connection to the time you put your phone down – telecom companies collect your data and derive crucial insights in a range of ways – mobile phone usage, mobile location, server logs, call detail records, network equipment, social networks, and various others.
Who uses Telecom Data and for what use cases?
Telecom data is reliably used both by telecommunication companies and other businesses to improve the quality of their services. The data thus obtained can be further enhanced and fed to machine learning algorithms and artificial intelligence technologies to derive critical insights.
Even traditionally, telecom data has always played a greater role in marketing and sales departments. Let’s not forget the CRM systems which make use of telecom data to help you nurture your leads.
Let’s have a look at a few use cases of telecom data:
A subsidiary of NTT Group, Solutionary, is using telecom data to offer managed security services consisting of Vulnerability Management, Threat Intelligence and the like. The company extracts the key hidden details by analyzing and correlating vast amounts of data from network devices, endpoints, firewalls, logs, and the like.
Telecom companies use telecom data to better their services and to outperform their competitors. They gather the data related to dropped calls, bandwidth issues, poor download times, and the like to optimize their services with proper capacity planning, equipment monitoring, and preventive maintenance.
Telecom data can also be used to discover hidden details about the customers – their demographic data, sentiment analysis of social media, calling circle data, browsing behavior data, historical data and more.
Demographic data can be used to target region-specific users while browsing behavior data can be used to target ads on social media platforms. Not only this, but telecom data can also help companies in predicting the user behaviors and preferences, thus helping businesses align their business strategy accordingly.
What are typical Telecom Data attributes?
Telecom data could have a range of attributes like:
- User demographic data
- Customer call logs
- Internet browsing history
- Sentiment analysis of social media
- Call history
- Texting pattern
…essentially almost anything that can be traced back to the devices using a connection provided by a network operator.
How is Telecom Data collected?
Depending on the kind of data collected, telecom data is extracted from different sources. Call records, for instance, are collected each time a call is made. Similarly, carrier data, network data, and routing information are collected through databases. LERG database, for instance, can be purchased from Telcordia and contains information on all telephone switches in North America and the phone numbers that they cover.
How to assess the quality of Telecom Data?
As with any data type, care should be taken that the telecom data that you are buying is accurate and reliable. It must come from a reputable source and should be fresh. Essentially, it must be in line with the recent GDPR requirements and should be available in a format that could be used by you and your tools.
To be on the safer side, we will highly recommend you have a deeper insight at the raw data collection methods used by your data vendor. You might also like to use sample sets provided by your data provider to check the data in its intended environment.
How Telecom Data is typically priced?
The pricing of telecom data depends on the quality of telecom data, and it also varied from telecom data provider to provider. Common pricing models we see are:
- Monthly subscriptions - give you access to freshly updated API’s
- One time payments for large batches that enable you to access historical data for making future predictions.
- Many providers are willing to also create custom quotes for more challenging use cases.
The number #1 challenge with Telecom Data?
Since telecom data majorly revolves around user data, the recent introduction of GDPR in Europe has made the accumulation of telecom data more difficult.. According to the law, you cannot collect the data pertaining to a user without their consent.
What to ask Telecom Data providers?
Here are a few questions that you may want to ask telecom data providers before finalizing the deal:
- How do you extract the telecom data?
- Is your data in line with the recent data laws?
- How do you ensure data freshness?