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Data Refinery

Transforming large amounts of raw data into consumable, quality information.

The increasing digitalization of business processes is making it necessary for companies to enable as many users as possible to gain insights from data (democratization of analytics). Many companies today view data preparation as the key to increasing their ability to efficiently use data in a distributed manner to optimize business processes, or to enabling new, innovative business models in the first place.

In today’s economy, achieving efficient and agile data preparation is of utmost importance. Increasingly volatile and saturated markets create a complex business environment where the ability to differentiate by leveraging the power of analytics is vital. Organizations struggle to keep up with the demand for data for analytics to gain insight into changing market conditions. The pressure on analytical landscapes to provide data for in-depth analysis is high and addressing these needs requires skilled personnel and a modern approach to data preparation.

The goal of data preparation is to support business analysts and data scientists by preparing different kinds of data for their analytical purposes. The preparation of data can take place either in business departments or be performed centrally by IT. Data preparation is a sub-domain of data integration that can be executed with dedicated tools or traditional tools for data integration like ETL tools, data virtualization or data warehouse.

Data is the new oil. [Like oil,] in its raw form, it’s usually too big, too messy, and lacks structure. To solve this problem, imagine the concept of a “data refinery”— a software platform that pulls in huge datasets, finds patterns in that data and makes predictions. The data refinery is the missing link between gathering data and extracting value from it.


The Data Refinery

A Data Refinery delivers comprehensive complex event processing functionality that ensures that event data is quickly and efficiently put into use, to improve business performance and customer experience.

It collects, unifies and refines data from multiple sources into valuable inputs for any business applications in real-time. It ensures the right data automatically ends up in the right place, in the right format, at the right time.

SmarTek21’s Data Refinery plays an important role in supporting the digital customer journey. It provides a layer of intelligent fast data to enable real- time decisions and actions. It collects, unifies and refines data from multiple sources into valuable inputs for any business applications in real-time. It ensures the right data automatically ends up in the right place, in the right format, at the right time – empowering truly data-driven business operations. The software has the capacity to capture and process vast amounts of raw data in-stream. It scales to your business needs and is capable of handling dynamically growing data traffics.

As a totally vendor and technology service agnostic solution, the Data Refinery captures data of any type and from any source, including customer, service, application, location, device, system, care and network data. It then refines that data with important contextual information and sends it on to any target business application – all in real time.

Additionally, the Data Refinery hides all technical complexity between the network and OSS/BSS layers through a unifying processing layer.

Data Refinery Features

Analyze and transform your data

Interactively discover, cleanse, and transform your data,

Profile and visualize data

Understand the quality and distribution of our data using charts, graphs and statistics. Automatically detect data types and business classifications.

Connect to data wherever it resides

Access and explore data residing in a wide spectrum of data sources within your organization or the cloud.

Governed self-service data preparation

Policies set by data governance professionals are automatically enforced within the Data Refinery.

Schedule job execution

Scheduling of data flow executions for repeatable outcomes. Monitoring and notification of results.

Serverless execution

Easily scale out to apply transformation recipes on full data sets

A Data Refinery delivers comprehensive complex event processing functionality that ensures that event data is quickly and efficiently put into use, to improve business performance and customer experience.

SmarTek21’s Data Refinery plays an important role in supporting the digital customer journey. It provides a layer of intelligent fast data to enable real- time decisions and actions. It collects, unifies and refines data from multiple sources into valuable inputs for any business applications in real-time. It ensures the right data automatically ends up in the right place, in the right format, at the right time – empowering truly data-driven business operations. The software has the capacity to capture and process vast amounts of raw data in-stream. It scales to your business needs and is capable of handling dynamically growing data traffics.

As a totally vendor and technology service agnostic solution, the Data Refinery captures data of any type and from any source, including customer, service, application, location, device, system, care and network data. It then refines that data with important contextual information and sends it on to any target business application – all in real time.

Additionally, the Data Refinery hides all technical complexity between the network and OSS/BSS layers through a unifying processing layer.

A Closer Look

 

 

In summary, the SmarTek21 Data Refinery plays an important role in supporting the digital customer journey. It provides a layer of intelligent fast data to enable real-time decisions and actions. It collects, unifies and refines data from multiple sources into valuable inputs for any business applications in real-time. It ensures the right data automatically ends up in the right place, in the right format, at the right time – empowering truly data-driven business operations. The software has the capacity to capture and process vast amounts of raw data in-stream. It scales to your business needs and is capable of handling dynamically growing data traffics.