Data Processing

Data is a key asset of today's business, and the ability to extract value from it in an efficient, flexible, and timely manner is at the core of today's digital transformation strategies.

The huge volumes of data coupled with the rapid pace of evolution of cloud technology, loT, etc., pose new demands that the legacy data infrastructure has difficulty handling.

TXM's SDCaster is a next-generation data integration platform that enables a new generation of applications that essentially take advantage of removing data barriers and extracting value from historical and real-time data.

Functions
<FONT COLOR="Orange" size="6">Data Sources</FONT>

Data Sources

  • Information from Customers
  • Records from applications
  • Data from sensors and events
  • Data from network usage
  • Data from Social Networks
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<FONT COLOR="Orange" size="6">Data Processing Basic Framework</FONT>

Data Processing Basic Framework

  • Data cleanse and normalization
  • Enriching, transformation and correlation
  • Real time data flow processing.
  • Batch processing
  • Cloud native processing environment.
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<FONT COLOR="Orange" size="6">Data Clients</FONT>

Data Clients

  • Machine Learning
  • Operative applications
  • Recommendations, fraud detection, logistics
  • Data analytics
  • Business Intelligence
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Open Source Innovation
Backed by a complete portfolio of services.

The largest number of innovations when it comes to data management technology powered by open source solutions. Given this SDCaster at its core is the leading Open Source project.

This strategy provides a number of benefits including non-dependency on vendors, rapid adoption of technology, and flexible processing options.

At the same time SDCaster is backed by a complete set of services provided by TXM that include design, implementation and support.

Central Capacity
  • a) Real-Time Continuous Data Processing.
    Collect data from a variety of structured and unstructured sources including logs, databases, message queues, network elements, probes, etc.
  • b) Continuous Data Delivery.
    SDCaster distributes realtime data in the required formats to any source.
  • c) SQL, Programatic and Visually Based Data Processing.
    Use a variety of tools to enrich, transform, aggregate and filter data. Generate triggers and alerts for further processing. Integrate Workflow and Business Rule engines as needed to make data processing changes more flexible.
  • d) Data Visualization.
    Create dashboards, visually define alerts using a wide range of tools and multiple sources of data.
  • e) Cloud Native Technology
    SDCaster is based on proven cloud-ready technologies that allow for flexible processing options. Enterprises can choose to run it entirely on cloud, on-premise or select a mix where some workloads can be processed locally and others on cloud.
  • f) Distributed Processing.
    SDCaster at its core uses a distributed processing model that naturally allows for a microservices-based architecture. The use of containers is natively supported and provides a natural fit to enable DevOps, DataOps and other agile methodologies while at the same time making the most of your HW infrastructure.
Use Cases
<FONT COLOR="Orange" size="6">Operational Intelligence</FONT>

Operational Intelligence

Gain a better understanding of the usage of your network resources by analyzing the volumes of data generated by network elements, sensors, and other assets. Use this knowledge for making better planning and investment decisions.
<FONT COLOR="Orange" size="6">Fraud Detection</FONT>

Fraud Detection

Process usage data, location-specific data and customer account data in real-time to model baseline “normal” behavior.Build predictive models that can flag anomalous behavior that might indicate theft or hacking.
<FONT COLOR="Orange" size="6">Product and Service Quality</FONT>

Product and Service Quality

Use real-time data analysis to ensure your infrastructure and management systems are performing as required. Easly track SLA and KPIs with flexible dashboards and reporting tools.
<FONT COLOR="Orange" size="6">Internet of Things IoT</FONT>

Internet of Things IoT

Process Data from any device, be it fixed or mobile and use in any number of scenarios. From Industry 4.0, to Smart homes/cities. SDCaster open architecture drives the data you need to derive insights that create value.
<FONT COLOR="Orange" size="6">Production Lines Monitoring</FONT>

Production Lines Monitoring

Monitor and view the KPIs of your production line on any remote device. Receive alarms on deviations, automate processes based on intelligent analysis of data in real time.
<FONT COLOR="Orange" size="6">Predictive Maintenance</FONT>

Predictive Maintenance

Anticipate possible potential failures or real-time incidents in your manufacturing line based on advanced analysis of data taken from sensors, PLCs or IoT devices installed on your production equipment.
<FONT COLOR="Orange" size="6">Score Card</FONT>

Score Card

Tool that allows to implement the strategy of a company from a real time monitoring of the balanced scorecard (Score Card), allowing permanent control over all the factors of the organization, interrelated objectives and relating them to specific actions which are they can automate and easily view information on mobile devices.
<FONT COLOR="Orange" size="6">Process Automation - Machine Learning</FONT>

Process Automation - Machine Learning

Automation of processes based on the needs and historical data of the company executing the required changes in real time using Machine Learning technologies to adapt business conditions to the demand or planning required at a given moment
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