Over 10 years we helping companies reach their financial and branding goals. Onum is a values-driven SEO agency dedicated.

LATEST NEWS
CONTACTS
Twitter Facebook-f Pinterest Instagram

Predictive Analytics

SAP Services

PREDICTIVE ANALYTICS

SAP Predictive Analytics is a solution of statistical analysis, predictive analysis, and data mining. This solution allows you to create predictive models in order to discover hidden information in the data, and thus to be able to make accurate predictions about future events.

SAP Predictive Analytics works with SAP or non-SAP data sources, and inherits the acquisition’s form of SAP Lumira. More advanced users can customize the functionalities of SAP Predictive Analytics adding their own script in R language.

The process in SAP Predictive Analitics consists of 3 steps:

  • Load your data from any data source.
  • Create, manipulate, discover and visualize the results.
  • Apply the predicitive models, and share the results.
Start Now
our services

Predictive Analytics Models And Use Cases

font-design-for-number-one-to-zero-on-white-vector-30426891-removebg-preview (2)
Customer Retention

Keep your customers happy by analyzing historical data that includes past purchases, app interactions as well as social media engagement with customer retention analytics.

font-design-for-number-one-to-zero-on-white-vector-30426891-removebg-preview (3)
Risk Management

Calculate and assess every bit of risk associated with your business by analyzing past data and manage risk with a ranking model that better equips you to deal with unaccounted behaviour.

font-design-for-number-one-to-zero-on-white-vector-30426891-removebg-preview (4)
Customer Segmentation

Get to know your customers better by dividing them into groups that share similar characteristics for superior customer service as well as satisfaction.

font-design-for-number-one-to-zero-on-white-vector-30426891-removebg-preview (5)
HR Analytics

Utilize data to gain higher employee retention and attract top talents and optimize recruitment channels. Predict and evaluate compensation to stay prepared in case of employee churn.

font-design-for-number-one-to-zero-on-white-vector-30426891-removebg-preview (6)
Sentiment Analysis

Calculate and assess every bit of risk associated with your business by analyzing past data and manage risk with a ranking model that better equips you to deal with unaccounted behaviour.

font-design-for-number-one-to-zero-on-white-vector-30426891-removebg-preview (7)
Compliance Adherence

Determine functions and processes that are likely to miss out on compliance adherence by analyzing granular data and keeping a check on internal processes and external policy changes.

font-design-for-number-one-to-zero-on-white-vector-30426891-removebg-preview (8)
Predictive Maintenance

Avoid costly downtime that can affect production and keep your machines and equipment up and running by predicting when they need maintenance and repair.

font-design-for-number-one-to-zero-on-white-vector-30426891-removebg-preview (9)
Sales Forecasting

Calculate and assess every bit of risk associated with your business by analyzing past data and manage risk with a ranking model that better equips you to deal with unaccounted behaviour.

font-design-for-number-one-to-zero-on-white-vector-30426891-removebg-preview (10)
Next Best Action

Analyze everything from customers’ buying patterns to consumer behavior to social media interactions which gives insight into the best times and channels to connect to those customers.

Take Your Business to Next Level!

Start Now
SAP services

Our Predictive Analytics Implementation Approach

01
01
Dataset understanding

We help organizations to improve their data literacy which plays a key role in understanding the data sets and share information on data collation and aggregation for existing as well as new sources.

02
02
Patterns and trends identification

We determine trends, patterns, unique characteristics along with inconsistencies and outliers from datasets allowing companies to get highly contextual insights from data.

03
03
Create predictive models

We create predictive models using historic data for forecasting future events, which help organizations with improved processes, optimized operations and cost reductions.

04
04
Data distillation

We use raw data for distillation to break it into structured formats. This process of data refinement ensures higher data quality which is imperative for data preparation.

05
05
Evaluation

We constantly work on evaluating the performance of the predictive model with unseen data to improve future performance for increased accuracy, fine tuning as and when necessary.

06
06
Deployment

Our deployment approach uses industry-defined best practices to ensure that the model transitions smoothly into production without causing any stoppages to your business practices.

why choose us

Why Syncabout For Predictive Analytics?

Depending on the quality of training data, predictive models gain accuracy over time. When ingested with newer data, they can adapt to the dynamic data which adds to their learning in order to provide better forecasts.

At Syncabout, we employ a pragmatic approach for our clients to determine future outcomes based on their data. This allows you to concentrate on driving better business decisions and stay ahead of the competition. Predictive Analytics help in determining future events using current as well as historical data through identification of trends, patterns and results. Computing as well as mathematical techniques like machine learning, artificial intelligence, statistical modeling and others.

Our data science experts help companies to collect, analyze, and visualize historical data for accurate forecasts with increased reliability.

  • Better customer understanding with behavioral prediction
  • Identify principal factors that influence an opportunity’s probability of success
  • Trends and pattern identification for smarter decision-making
  • Plan pricing strategies and adjust product offerings based on the product demand