TENTHPLANET BIG DATA ANALYTICS BLOG Identify Patterns in data using Association Rules

Association rule mining identifies patterns and relationships between products that are frequently bought together and provides valuable insights.

tenthplanet blog pentaho Predicting Future outcomes using Decision Trees

A decision tree is a map of the possible outcomes of a series of related choices. It allows an individual or organization to weigh possible actions against one another based on their costs, probabilities and benefits.

tenthplanet blog pentaho Modelling Demand Forecasts

Demand forecasting is the science of predicting the future demand for a product or service. This prediction is based on past behaviour as well as current trends.

tenthplanet blog pentaho Processing Raw Data for Machine Learning

There is a critical need for data processing while using data for analytical purposes. Agility and competitiveness are maintained with the help of an effective data processing strategy.

tenthplanet blog pentaho Extraction and Parsing of Geo coding data using OpenStreetMap an

Geo-coding is a regular feature of location-based data. A simple download does not suffice to understand the data; it requires specialised methods of extraction and parsing to be understood.

tenthplanet blog pentaho Creating Web Applications with Interactive User Interfaces

Creating interactive user interfaces, with a focus on maximisation of usability and user experience, is essential for building a web application. The goal is to make the user's interaction with the web application as simple and efficient as possible.

tenthplanet blog pentaho Data Cleansing for Machine Learning

Databases may generally contain incorrect, incomplete, duplicate or improperly-formatted data. It is essential to employ data cleaning to remove these inconsistencies and prepare data for further analysis.

tenthplanet blog pentaho Forecasting Product Demand

Demand forecasting provides an estimate of the amount of goods and services that will be purchased in the foreseeable future. Demand forecasting facilitates decision-making and strategic planning.

tenthplanet blog pentaho Time Series Forecasting using ARIMA model

ARIMA is a time-series forecasting tool that accommodates seasonality, varying trends and multiple parameters.

tenthplanet blog pentaho Time Series Forecasting using TBATS model

Time-series data with multiple seasonal effects are difficult to model and require the use of specialised algorithms. TBATS is a time-series forecasting method that accounts for multiple seasonalities.

tenthplanet blog pentaho Extracting Meaningful Insights from Data using Exploratory Data

Raw data is normally ambiguous and difficult to interpret. Cleaning it is essential in order to understand the relationships between the variables present in the data.

tenthplanet blog pentaho Predicting Customer Churn using Machine Learning

Predicting customer churn can help your business improve upon those areas where customer service is lacking and improve revenue.