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PredictBench is a predictive analytics solution that combines modern data visualisation and data mining tools with cutting edge data science and machine learning technologies; wrapped in a streamline delivery framework to allow organisations to improve decision-making, risk assessment and business potential.

PredictBench is not intrusive to your organisation’s IT, does not require an established data warehouse and can deliver results at a fraction of the cost and time needed by traditional data analytics solutions.

PredictBench is hosted on world leading cloud technologies which allows for rapid provisioning and scaling, low cost disaster recovery, and minimum intrusion to your organisations existing IT.

PicNet’s PredictBench set to go global

PredictBench has been chosen as a participant in the 2015 Elevate61 program . Elevate61 is a program jointly run by Advance and KPMG Australia to enable high performing Australian businesses to fast track their growth in Australia , the United States and beyond.

Click here to read more.

Benefits of PredictBench

  • Low cost
  • Fast to implement and delivers results
  • No need for complex data warehouse or related IT infrastructure
  • No need for existing Business Intelligence or Data Analytics software
  • Works with structured and unstructured data in multiple formats from multiple sources

PredictBench will

  • Improve the accuracy of sales and demand forecasting
  • Improve customer segmentation and targeting
  • Optimise marketing campaigns
  • Help with supply chain optimisations
  • Help with fault detection
  • Unlock the hidden value in your enterprise data
  • Reduce risk

PredictBench Illustrated

Figure – 1

How PredictBench differs from traditional analytics

Traditional analytics also known as Business Intelligence (BI) is usually very slow and costly to implement. These systems require access to internal data sources and are very intrusive into an organisation’s IT department as they require data warehouses, data cubes, and the servers and software to run this infrastructure. Traditional analytics provide organisations with answers to what has happened in the past through reports and charts that must be interpreted by a data analyst with intimate understanding of the business to analyse the data and draw conclusions based on their experience and knowledge of the business. In comparison PredictBench is fast, nimble and very cost effective to implement. PredictBench does not require data warehouses. Instead we take extracts of organisations’ internal data, which is then analysed in combination with any relevant external data by a set of machine learning algorithms. PredictBench provide organisations with not only highly visual reports but also answers and predictions of the future which can help organisation make real business decisions.

Some of these business decisions could be:

  • What marketing campaign will give me the best return on my investment
  • How much of a product to manufacture to reduce oversupply whilst guaranteeing no undersupply
  • How to measure customer risk (propensity to claim in insurance industry)


  • In addition, PredictBench runs using Cloud computing technology, which makes it an excellent solution because you don’t need to buy expensive hardware.
     

    How much will PredictBench cost?

    PredictBench is used to develop a proof of concept and will be customised for you within four to eight weeks. It will cost between $10,000 and $20,000, depending on a number of factors to be confirmed on consultation.
     
    Maximise the value of your data
     
     
    Download the white paper and learn the significance of getting real value from your data.
     

    What if I don’t have good data?

    Predictive analytics requires good data, but even if you don’t have good data today it shouldn’t stop you from trying to gather it for the future.

    PicNet can help you modify your existing systems to start recording good data today.

    What if I don’t have big data?

    You can gain enormous insights from your small data if it’s good quality. In fact, the buzzword ‘big data’ is so prevalent because prior to the use of predictive analytics, there was no point to having large quantities of data; it just wasn’t possible for humans to process it efficiently.

    Why PicNet?

    PicNet’s experience in data systems development spans more than 10 years. Our predictive analytics team is led by the Kaggle master Guido Tapia, a world-class machine learning practitioner with more than 20 years of development and artificial intelligence experience. Guido has built a small team of highly passionate and competent data scientists who are always looking for the next big challenge.

    Find out more

    To find out more about how PicNet can assist your organisation in getting real value from your data please enter your details and one of our data scientists will call you shortly to discuss your needs.

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