Data Science Services

Real-Time Data: Trends and Patterns

It is not only essential to draw inferences from the past data but extrapolate current trends. With cutting-edge services around Data Sciences, we help you stay on the course – whether that is about a boom in sales figures or adding that extra feature to an offering or release at the most time.

Data Sciences and Machine Learning

Organizations are moving to new-age technologies to train machines on interpreting data. In this scenario, Machine Learning involves assigning bots to manipulate and utilize data to draw definite conclusions. A set of machine learning algorithms orchestrate with respective training data to deliver analysis around advanced models such as ANOVA, Principal Components Analysis, or the Classification-And-Regression Tree (CART).

Data Model Preparation

It is essential to arrange or consolidate data based on Best Practices for initiating a well-organized and versatile data model. In the case of specialized models to forecast the behavior of data – like the Predictive Modeling scenarios – it becomes imperative to embed a finely-tuned predictor function that relies on viable and custom predefined variables. This accompanies a composition of best-fit algorithms towards a fully prepared data set for real-time Data Science Services requirements and aligned business applications. It ultimately refines training machine learning bots receive – by the accurate data-feed.

Data Model Implementation

Once the raw data is taken, a refined set – about 80% of the original numbers – is taken to build a data set that is viable for staining accurate algorithms in a model. With successive trials and elimination methods, data engineers can finalize the best fit. The remainder of the original raw data – 20% of the whole - is initially kept aside for validation. Based on the least error between Machine estimates vs. Actual data, a learning model is evaluated and deemed fit for real-time implementation.

• 1. Predictive Modeling:

  Take complete control of business and turn around investments to quick returns by tracking changing market needs and the demographics of a specific segment. Plan and execute what-if analysis, backed up with statistical data-mining models for tracing future outcomes with accuracy. A neural network, that is essentially a complex predictive model, is also capable of training machines.

• 2. Data Forecasting:

  Model futuristic data trends from entities and touch-points to gather possible clues on business prospects and anticipate trends. We build comprehensive yet flexible customer-centric data forecasting models to empower clients with real-time linear regression, straight line, or moving average forecasting techniques for informed business decisions.

• 3. Data Visualization:

  A ‘qualitative’ understanding of data based on visual patterns offers crucial takeaways. It also helps identify precise trends and scour datasets for establishing key relationships among datasets to establish mutual significance. An array of different representations like Heat Maps, Bar/Bubble Charts, and Dot Distributions are proven to offer data-driven benefits.

Actionable Insights with Data Interpretation

Drill-down reports, at-a-glance scorecards, and standard tools such as Power BI extend the range of smartest choices available around using data to the core. From Google Charts or Ember Charts to proprietary Data Analytics software such as Tableau, our experts are trained in excellence.

We enable our valuable clients leverage across a range of handpicked Data Sciences tools of your choice – and derive crucial business benefits across the strategic nodes in your value chain. Top executives and business leaders can now zero in on likely scenarios and best-case hypothesis with much clear vision – aided with efficient Predictive Modeling and Data Forecasting techniques.

• Seamless interpretation of data across business matrices and remotely located organizational units
• Efficient data modeling to capture metrics, initialize data analysis workflows, and accelerate insights
• Center-of-Excellence in automated Machine Learning and AI models to fuel Data Sciences innovation
• Forecasts and predictions for future business scenarios and changing market dynamics with accuracy
• Well-defined use-cases, what-if scenarios, logic gates, and algorithms for truly sustainable data models