LeanXcale in IoT

Traditionally, telco industry has made an intensive use of data; but lately, the amount of information produced is much higher, and the need to process large volumes of data in a short time is one of companies’ greatest problem. Typical relational databases cannot provide the processing capacity and scalability required, thus requiring complex data architectures.


LeanXcale has been designed to solve the problems that traditional databases don’t.
 

LeanXcale use cases

INVOICING

Problem: Telco companies are creating complex pricing models, packing several products and adapting them to different customer categories. In some scenarios, these pricing models must be computed in real-time or in a prepaid model. This requires processing a big volume of data from various sources.

LeanXcale benefit: Run more complex processes into tighter time windows, or even real time, thanks to LeanXcale higher efficiency and linear scalability.

LeanXcale Value: More interesting pricing that reduce customer acquisition cost and minimize customers’ churn.
 

MASSIVE SERVICE ACTIVATION

Problem: Competition in the industry has lately increased, which led to lower margins. Companies must accelerate their processes to adapt faster to changes and optimize resources usage. In this line, telco requires to activate a massive number of services in an increasingly tighter window of time. Databases are not able to scale out with the level of consistency and redundancy they need, so they become a bottleneck for the business.

LeanXcale benefit: Thanks to its linear scalability, active-active high redundancy, and geo-replication, LeanXcale can provide the required level of consistency and redundancy at any scale. This removes the parallelization limitation these architectures have.

LeanXcale value: The activation processes run faster for much bigger installations, optimizing the resource usage and making more agile the complex services a telco company has to provide.
 

NETWORK OBSERVABILITY

Problem: Telco services rely on a myriad of different elements. Understanding the quality of service that end-customers are experiencing is crucial, but knowing the impact in the customer experience of every involved item is now more difficult than ever. Companies have to detect any problem as soon as it appears. These problems must be classified, the root cause must be identified, and it have to be fixed.

LeanXcale benefit: Intake and aggregation of data in real-time, dealing with large historical data, and working with a massive workload. These capacities allow to:

a) be efficient in the intake of raw data and computation of KPIs in real-time

b) work with historical data to identify baselines, thresholds, and trends.

c) see the whole infrastructure such a unique, to apply smart metrics or detection algorithms.

LeanXcale value: Reduce the Time-To-Market and improve the customer experience by improving MTTR with a low TCO. Capacity to manage more complex services with smarter algorithms that requires a 360º view.