BUSINESS ANALYTICS ENABLES SMART DECISION-MAKING THAT IS DRIVEN BY DATA.

Business Analytics (BA) is fast becoming one of the greatest corporate assets of any company that wishes to maintain the competitive edge.
Business Analytics comprises of analytics and tools for the intelligent and methodical analysis of a company’s actual operational and statistical data to form predictive models and enable informed decision-making for business process optimisation. Simply put, Business Analytics equips companies to yield greater business results by working smarter, not harder.

When it comes to Business Analytics, the philosophy of nCoded Solutions is to keep it as simple as possible. Our team of highly skilled analysts therefore specialise in assisting companies to implement easy-to-use analytic tools and methodologies that will simplify the analysis process and place powerful data for enhanced decision-making – at their fingertips. Our main area of focus and specialisation is around Detective Analysis, Dashboards and Reporting.

Reports

The reports and reporting functionalities should ultimately serve to answer one critical question: ‘what happened?’ However, ahead of the thinking curve right now is to not just place reports in the hands of managers in hindsight, but to place reports in their hands in real time.

nCoded Solutions equips companies to utilise reports to gain a complete understanding of ‘what happened’. This is taken to the next level by not generating the reports after the fact only, but to rather enable managers to monitor activities on an ongoing basis. As such, reports are generated continuously as data is automatically received via capturing, scanning, PLCs, etc. The process stimulates further analysis as managers automatically start asking other important questions as well, such as why and when it happened. The technology that is usually used here is largely dependent on the skills available within an organisation. For example, for beginners, MS Excel and MS Reporting Services are ordinarily used to create standard reports.

Detective Analysis.

As soon as reporting ends and we know what happened, Detective Analysis kicks in to answer the next important question: ‘why did it happen?’ Detective Analysis is a methodical approach that facilitates intelligent data analysis to lead managers to the right answers.

In the Detective Analysis process, managers start looking for reasons for unexpected changes in business or operational activities. Typical issues that are investigated are ‘why did the efficiency drop?’ or ‘why did our maintenance cost escalate?’ To find sensible answers to these questions, past trends or changes in distribution are examined. The problem with this approach is that it is backward looking. Even though backward analysis can be useful for business planning, the true purpose of analysis is rather to determine what has worked and what has not. nCoded Solutions works closely with the organisations to strengthen our knowledge of the business so that the tools and analysis that we carry out adds good value. Our approach is based on: Data Visualisation, Correlation Analysis, Significance Testing, Artificial Neural Networks, Pivot Tables, MS SQL, MS Advanced Excel, MS Access, Trend Analysis, Regression Analysis and other sophisticated statistical methods.

Dashboards

A DASHBOARD SOLUTION THAT PLACES INFORMATION AT YOUR FINGERTIPS.

nCoded View is an nCoded Solutions owned dashboard solution that is interactive and customisable for all manufacturing facilities and that will make the analysis of information as easy as 1,2.3 The features of nCoded View include the following:

Displays data in the scale, format, design and granularity that is required by any organisation. Visualize and analyse data from across the organisation on your dashboard, helping you to gain valuable insights and drive accurate decision making. Add data visualisations or components and arrange them anywhere on the canvas. Filter, sort, group, re-visualise, drill-down and perform advanced calculations through an easy to use interface. The Drag and Drop interface allows you to browse all of your measures and dimensions, and then plot them onto a chart, grid or other advanced visualisations for instant analysis. Our Tracking provides an array of predefined best practice data visualisation configurations you can simply use to compose your dashboard. nCoded View is web-based and mobile optimised, which enables users to access any data, anywhere with a web connection. Build, share and view fully interactive dashboards directly in your HTML5 browser without any additional desktop application.

Predictive Analysis

Predictive Analytics is the branch of the advanced analytics which is used to make predictions about unknown future events. Predictive analytics uses many techniques from data mining, statistics, modelling, machine learning, and artificial intelligence to analyse current data to make predictions about future.

Predictive Analytics uses the patterns it found in the Historical Data and Transactional Data to determine future trends, opportunities and risks. Predictive Analytics captures relationships to measure risks that fit a particular condition.

 

It is through Predictive Analytics where a business is able to become proactive, forward-looking and can also anticipate outcomes and behaviour based upon historical data in a methodical and structured approach, instead of a hunch or assumption.

 

Predictive Analysis Process:

  1. Define Problem Area
    Define Scope, Deliverables and Output Required.
  2. Data Collection:
    Data Preparation and Collection
  3. Data Analysis:
    Data inspection, Data cleaning, creating of assumptions and conclusions.
  4. Statistical Analysis
    Applying tests such as hypothesis and other statistical testing methods.
  5. Modelling
    Creating a model based on statistical analysis to determine what the future trend will look like.
  6. Deployment:
    Provide solutions around the problem area.

Business Analytics Benefits in a nutshell.

  • Advanced analysis of business data.

  • Enhanced insights into business activities.

  • Enablement of data-driven decision-making.

  • Minimising of waste.

  • Automation and optimisation of business processes.
  • Gaining and maintaining of the competitive advantage.
  • Optimal operations at maximum profit.