• What if a decision now could increase future revenue by 6%?

    Make smarter decisions through the power of predictive analytics.

Predictive Analytics Made Easy

SMG Technologies’ range of products are able to gather all your data sets, structured and unstructured onto one platform. This is powered by XELA, the inbuilt predictive analytics engine. We are then able to utilise modern Big Data technologies and machine learning algorithms, XELA and the power of the analytical engine to identify hidden relationships in the data and build predictive models around them. This removes the guesswork and allows “what if” analysis to be performed.

These predictions can be used to support daily activities, decision making processes and supports the analysis of potential consequences of any actions.

Using XELAs user-friendly interface users are able to perform “what if” analysis by simulating various conditions without any specific technical or statistical knowledge – simply change parameters and immediately the information about the impact of the change is displayed.

There are many data related challenges facing organisations

Faced with siloed data, legacy systems and the lack of real time and valuable results that provide insights and patterns that are valuable. Further examples of challenges faced;

  • Lack of visibility due to vast amounts of data from different parts of the business, regions, market
  • Limited amount of time available for collection, uploads and analysis
  • Inadequate resources for individuals or internally and tools to identify specific key information
  • Weak data collection
  • Data sources offer linear results from one source or 
device at a time
  • Poor data quality and inconsistent from data sources
  • Data from many devices, spreadsheets and other inputs

XELA can be utilised across the entire organisation

Whether it be operations, finance, sales, customer service, or HR and all size businesses. XELA ensures all products within the SMG Technologies’ suite combine statistical analysis, predictive modelling, decision optimization and scoring, data collection. The following methods and tools are intensively used:

  • Multivariate regression analysis
  • Stochastic modeling for time series
  • K-nearest neighbor
  • K-means
  • Monte-Carlo simulation
  • Operations research methods
  • Bayesian belief networks
  • Extreme value theory
  • Fat–tail modelling
  • Empirical distribution modelling

The power of collating data is the ability to understand how different behaviours relation and transform information into actionable insights.

Predictive analytics are helpful in supporting business or team related plans to change actions or activities as gives visibility of potential outcomes before changes are implemented in real life – this reduces operational risks and costs associated with the wrong change. Through these insights, predictive capabilities enabled the user to be empowered to take action and respond to the changing dynamics of your customers, competitors, or situations.

Alerts

All models are automatically updated as new data is uploaded and adapts to ever changing conditions. The philosophy applied is that software is not only a passive tool to analyze data, but it’s the active elements of daily activities that helps organisations move in the right direction, delivering the right information at the right time.

With the inbuilt alerting system, users can define what
areas are of interest and the system won’t allow these to be missed. Alerts are generated and delivered via the preferred channel, SMS, email or Instant message.

Import your data easily

Upload any source of data from CSV files, Microsoft Excel, GPS systems, camera technologies, Heart rate monitors, Mobile App solutions, and any wearable device and then track the data in real time mode.

This allows users to perform statistical analysis on current and historical datasets within the platform in a few easy steps and the insights gained present statistical predictions for future values and events.

What is also very important is to ensure that “expert” knowledge and opinion support the statistical analysis performed within XELA.

Benefits

Using predictive analytics to track data from multiple sources to provide valuable insights and trends or patterns of behaviour to an organisation can be widely beneficial. The real value and power rests within XELA, the analytical engine, which can take all the sources of data, including individuals knowledge, and provides options to perform ‘what if’ scenarios and simulations under different scenarios. Further benefits;

  • No third party product integration specifically for data analytics
  • Elimination of inaccurate data collection and poor data quality
  • Import and export with ease
  • Optimised reporting–view and interact with ease
  • Extensivenontrivialdatainsights
  • In-depthidentificationofinternalchallenges
  • Work efficiencies are facilitated
  • Business intelligence enhanced and decision making supported
  • Customer/client relationships fostered
  • A dedicated team providing 24/7 support
  • End result–increasing shareholder value, driving ROI
  • Easy integration into your business processes and tools that are already in place

XELA offers key competitive advantages providing solutions to:

Insights

  • Make decisions faster, increase agility
  • Actionable insights
  •  What occurred, what may occur and what should occur
  •  Patterns and insights by data analysis
  • What’s really happening in your organisation

Results

  • Reduce complexity
  • Decrease costs
  • Increase productivity
  • Increase knowledge
  • Deliver more intelligence
  • Remove siloed data and integrate

Innovation

  • Digital innovation world – new business innovations
  • Issues with siloed data and legacy systems

Mobility

  • Real time
  • Available on premise or in the cloud

What is Big Data?

Organisations across the globe are gathering large volumes of data on a regular basis from all areas of the business, across all roles and levels.

However data collected is pointless if left disparate and in silos. If utilized and managed effectively, powerful insights can be delivered to support better decision-making, ensuring for continuous improvements, increased agility and ultimately business success.

When combined with predictive analytics data aggregated can lead to many advantages.

  • Real-time decision-making
  • Increased agility
  • Actionable insights
  • Cost reductions
  • Informed decision-making
  • Advancement in product offerings
©2016 SMG Technologies