What’s so different about StreamCentral?

In today’s business environment, faster “Time-to-decision” is central in achieving competitive advantage as a growing number of services and opportunities need to respond to events as they occur.

Traditional methods of collecting data first, sending it to a central repository and then trying to make sense of it by converting it into insight do not work for today’s increasing volumes of real-time Big Data. Stale insights, trends and predictions can no longer be counted on either to deliver competitive advantage or as the basis for the next generation of services that businesses can offer.

What if data could be turned into actionable insight as it was being collected?

What if your business could react to events as they occurred?

StreamCentral allows your business to react in real-time with configurable Operational Intelligence and On-Demand Business Intelligence

Operational Intelligence allows businesses to tap into real-time streaming data while analyzing and uncovering events good or bad that impact business performance.

Consuming data

The fundamental role of a solution in this space is the ability to consume data in real-time from a variety sources of information. The primary differentiator is: How quickly can this new stream of data be added?

StreamCentral provides the ability for manufacturers of devices, probes and sensors to stream data to StreamCentral using standard web interfaces. This allows a customer to pick the best devices, probes and sensors for their requirements.

StreamCentral can also pull data from various sources including live feeds like weather, traffic or custom sources of information present in any business.

So what’s different?

Before

Most platforms are developer oriented. To accept data from a source is one thing but then what about the infrastructure to hold the data? Who builds that? A significant amount of time is spent building the database schemas to hold that information. This is rigid and time consuming.

With StreamCentral

StreamCentral is an end user focussed application and not a developer tool. It is built to be used by many rather than a few.

Plugging in a data source is a matter of few clicks

More importantly, StreamCentral will auto generate all the backend systems to hold the incoming data

Business Oriented and Configurable

Plugging in a data source is one thing but the real value is in getting a deeper understanding of the data as it is streaming in real time. That’s when business rules come in that identify desirable and undesirable events, add new data by means of calculations, define rules that measure the data and map them to pre-defined events.

So what’s different?

Before

Most platforms again allow this but it is for the developers. Business users are seldom able to configure and make changes let alone request these changes to happen in real time

With StreamCentral

StreamCentral introduces the Workbench that allows developers and non-developers to define events, calculations, Key Performance Indicators and alerts on incoming data. These rules can be changed and modified as business requirements change. Adding a new data source and want to ensure a metric from the data source is taken into consideration for an event? Daunting for most solutions, it is easy to do with StreamCentral.

Raw data is seldom of use when trying to analyze the information for trends and patterns. Preparing the data for analysis usually is an exercise done after the fact. Design best practices that take into account dimensions for data analysis and facts to analyze, are available but they require custom development and the end solutions are rigid and only updated via batch processing.

So what’s different?

Before

Specialists have to be brought in to design and build data marts for specific analysis purposes. These data marts and their designs are rigid and usually updated via batch process making real time trend and pattern analysis difficult.

StreamCentral introduces

  • Ability to define shared dimensions and connect those dimensions to various sources
  • Use correlated data for analysis purposes to ensure 360 data views have been accounted for
  • Connect entities like customers, patients or plants.
  • A data warehouse and multiple data marts are built in the background as StreamCentral is configured using a powerful user driven Workbench. The data warehouse and data marts are automatically created, completely configurable and always current for information discovery and predictive analytics

The ability to capture specialist knowledge in Operations, Support and other business functions as events take place and then make it available to others is critical in gaining competitive advantage.

So what’s different?

Before

There is no easy way in today’s solutions to associate events with proven actions that can be taken when the events take place.

With StreamCentral

StreamCentral lets you define a set of resolving actions in the form of a decision tree that is built by specialists. These decision trees are connected to specific events and are exposed in various applications to ensure that everyone in the organization is a specialist.

When problems can be discussed, knowledge can be shared, questions can be answered and relevant information can be shared and feedback can be collected, many good things happen. From better customer service to solutions to problems garnered from a network of people instantly, the impact that social collaboration brings are endless.

So what’s different?

Before

Data, insights, knowledge and collaboration were treated as separate things, each requiring vast amounts of resources dedicated in integrating and making them work together.

With StreamCentral

Social Collaboration is built in with StreamCentral. Through the web, desktop of mobile, share, collaborate and get feedback with built in social tools.

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