Data Science, Predictive Analytics & Big Data Analytics ...€¦ · The purpose of Predictive Analytics is to forecast what might happen in the future, automatically classify the

Data Science, Predictive Analytics & Big Data Analytics Solutions

Service Presentation

AltexSoft 2007-2016

Did You Know That

According to the New Research from GE and Accenture*:

87% of companies believe Big Data analytics will redefine the competitive landscapeof their industries within the next three years.

89% of enterprises believe that companies that do not adopt a Big Data analyticsstrategy in the next year risk falling back and losing their market share.

Increasing profitability (60%), gaining a competitive advantage (57%) and improvingenvironmental safety and emissions compliance (55%) are the three highest industrypriorities in implementing Big Data and Machine Learning initiatives.

* - “How the Industrial Internet is Changing the Competitive Landscape of Industries”.

2AltexSoft 2007-2016

Data Science

Virtually every industry now has access to more data than would have been imaginable

even just a decade ago. Businesses today are accumulating new data at a rate which

exceeds their capacity to extract value from it.


Data Science is a new field, emerging at

the intersection of the fields of software

development and statistics, data

engineering and business analytics, and

even design.

At its core, Data Science involves using

automated methods to analyze massive

amounts of data and to extract

knowledge and insights from them.

Descriptive and Predictive Analytics


Predictive Analytics

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The purpose of Predictive Analytics is to forecast what might happen in the future, automaticallyclassify the objects or predict some outcomes based on the present data. Predictive analytics usesdata to determine the probable consequences of an event, or the likelihood of a situation occurring.

= +Predictive Analytics Advanced Analytics Decision Optimization

• Statistics• Machine Learning

Algorithms• Artificial Neural Networks• Visualization• Data Storages and Data

Processing

• Scoring Algorithms• Rules Engines• Recommendation Engines• Optimization Algorithms

AltexSoft 2007-2016

Key Advantages of Predictive Analytics

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Accuracy

Predictive Analytics uses data to discover an optimal decision-making engine for your problem. As you collect more data, the accuracy increases automatically.

Automation

As new data comes in, the output interest can be automatically estimated. This allows users to embed Predictive Analytics directly into an automated workflow.

Velocity

Predictive Analytics can generate answers in a matter of milliseconds as new data streams in, allowing the systems to react in real-time.

Scalability

As your business grows, Predictive Analytics easily scales to handle the increased data rates. Most Analytics processes run in parallel and enable good scalability.

AltexSoft 2007-2016

Why Predictive Analytics Matter

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Finance and Banking

At a leading global financial services company, one rogue trader created $2 billion worth of losses. This incident could have been prevented with Predictive Risk Models.

Retail and E-commerce

Retailers miss out on $93 billion in sales every year because they don’t have enough stock to meet consumer demand. The Analytics allows you to work out an effective financing strategy and skyrocket your sales.

Marketing and Sales

Currently 48% of firms are using predictive analytics, which enables them to gather and analyze unstructured data. It’s essential to keep up with the competition.

Travel and Booking

Analytics benefits include revenue & profit optimization, a reduction of up to 30% in loyalty program drop-out rates, and a boost in promotions/offers acceptance rates.

Telecommunications

In TELCO, five billion subscribers demand personalized offerings that match their lifestyles. Using Predictive Analytics, you can greatly enhance the user experience.

Healthcare and Life Sciences

The healthcare industry spends $250 to $300 billion on healthcare fraud per year, while Predictive Analytics allows you to notably reduce these expenses.

AltexSoft 2007-2016

Predictive Analytics Can Transform Your Business

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Finance and Banking

• Credit scoring

• Fraud detection

• Risk analysis

• Client analysis

• Trading exchange forecasting


• Demand forecasting

• Price optimization

• Recommendations

• Fraud detection

• Customer segmentation

Marketing and Sales

• Market and customer segmentation


• Churn rate analysis

• Customer lifetime value prediction

• Upsell opportunity analysis

• Sentiment analysis in social networks

Travel and Booking

• Demand forecasting


• Price forecasting (for dynamically changing prices)

Other

• Object recognition (photo and video)

• Content recommendations (movies, music, articles and news)

• And more


• Increase in diagnostic accuracy

• Identifying at-risk patients

• Insurance product cost optimization

…

AltexSoft 2007-2016

Finance and Banking

Credit scoring can be implemented through lots of differentapproaches. However, Machine Learning is worthy of specialattention. Its regression algorithms, that are tested using real data, letfinancial institutions use their history of successful and unsuccessfulloans in order to better predict if a customer is creditworthy or not.This allows banks and other credit institutions to make their rulesmuch more sophisticated and effective, so as to decrease the percentof overdue and default loans.

Data analysis with Machine Learning algorithms estimates the timewhen present customers are likely to leave by using the past databased on previous customer behavior. The proper action performed atthe right time increases the chances of this customer staying with yourbusiness.

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Credit Scoring

Customer Retention

Financial fraud detection Cross-sell and up-sell Risk analysis Client analysis Financial trading

Other Examples

AltexSoft 2007-2016


Big Retail and E-commerce businesses use Recommender Engines toincrease their sales. Recommendations can be general or personalizedfor any particular user. Promptly implemented recommendationsimprove cross-sales and boost revenues.

Both Retail and E-commerce businesses can benefit if they know whichproducts will be of interest to their customers in the future. Customerdemand for a particular product may be seasonal. Many factors aretaken into account in order to develop a good forecast, which assumesinventory planning and optimization, price changes, discounts andmarketing campaigns for particular groups of products. Time Seriesforecasting techniques are also used as a part of the MachineLearning process.

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Recommendations

Demand/Sales Forecasting

Other Examples Price optimization Fraud detection Many more

AltexSoft 2007-2016

Marketing and Sales

Market segmentation allows businesses to divide their customers intogroups based on different criteria – geolocation, demographics,behavior, etc. Although these types of segmentation are useful in andof themselves, their combinations might be even more beneficial.Sophisticated clustering and ensemble algorithms used for thesegmentation reveal great insights for marketing and sales, andpredict new customer values based on their segment’s features.

Sentiment analysis enables marketing specialists to see the marketresponse to a campaign or a new product/service. The main purposeof sentiment analysis is to monitor the social networking activity andvisualize the changes in market attitude and loyalty to the brand orproduct. This has become achievable with different complex NaturalLanguage Processing algorithms.

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Market/Customer Segmentation

Sentiment Analysis in Social Networks

Price optimization Product Ad optimization Churn rate analysis Customer lifetime value prediction Upsell opportunity analysis

Other Examples

AltexSoft 2007-2016

Travel and Booking

Airline prices change frequently and it is difficult to determine iftoday’s ticket price is optimal, or if it’s better to wait to make apurchase. This is where Time Series forecasting methods can be of theutmost importance, as it is used to foresee and save customers’money. Thus this feature is essential for travel agents who sell airlinetickets.

Obviously, travel agencies that book hotels benefit fromrecommending the best options to their customers. From a technicalperspective, this can be done using Clustering and Regression analysis.

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Price Forecasting

Recommending the Best Hotels

Demand forecasting Price optimization Many more

Other Examples

AltexSoft 2007-2016


Computer Vision algorithms can be used for automatic analysis ofdifferent types of images produced by modern medical devices:radiograms, MRI pictures, ultrasonography and many others. Thissignificantly helps doctors with disease diagnostics and enables moreinformed decisions regarding the patients’ treatment.

Digital Signal Processing, and classification algorithms that work ontop of DSP, can be used in sound analysis and recognition. Forexample, snoring or apnea can be detected with sleeping patients. Itallows healthcare personnel to determine if the treatment is effective,even when they are not near the patient.

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Biological Image Processing

Sound Recognition

Predicting disease evolvement Predicting hospital readmissions Motion recognition Bioinformatics and Biostatistics

Other Examples

AltexSoft 2007-2016

Other ML Applications

Motion recognition based on smartphone sensors, such asaccelerometers, gyroscopes, and GPS trackers, opens up a wide varietyof possibilities for building applications, especially in Fitness andHealthcare. Smartphone cameras in turn feature image recognition,which provides the opportunity to develop dozens of applications fordifferent domains.

Natural Language Processing algorithms allow extracting valuableinformation from unstructured text arrays. For example, importantfacts and text topics can be automatically retrieved for a fasteranalysis by a human, or be saved in a structured format for storageand later usage.


Motion and Image Recognition for Smartphones

Automatic Information Retrieval from Texts

Collaborative filtering Content recommendations Sentiment analysis Speech recognition Advanced search Machine translation

Other Examples

Essential Takeaways

Predictive Analytics provides abundant opportunities for enterprise evolution and new

product development. Even if your company or product already employs this

technology, it presents such a wide range of value propositions that there will always

be a new frontier in which to deploy it. Through systematic learning from the

company’s experience, and applying what's been learned, it becomes possible for you

to determine the way in which your enterprise will evolve. If business is a “numbers

game,” Predictive Analytics is the tool to guide you.

Begin your analytical transformations with one of these four high-value initiatives:

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1. Grow, retain and satisfy

your clientele

2. Notably increase operational efficiency

3. Streamline and improve sales &

financial processes

4. Effectively manage risk, fraud

& regulatory compliance

AltexSoft 2007-2016

How AltexSoft Can Help

Data Science from AltexSoft

AltexSoft is an innovative software R&D company that provides full-cycle custom

development solutions and IT consulting services. Data Science is one of our main areas

of expertise.

Our professional team consists of specialists from many different fields, including

mathematicians and technology experts, who encapsulate advanced mathematical and

statistical expertise to extract predictive knowledge. When deployed within an existing

processes, this knowledge assists them in improving outcomes.

AltexSoft gives companies the power to discover deep analytical insights, predict future

trends, make recommendations and reveal untapped markets with potential customers.

We contribute to both the research and the actual development of a solution or product

appropriate for customer business needs.


Approaches

AltexSoft offers the implementation of Data Science and Predictive analytics solutions,

including Big Data solutions. These solutions can be considered for a company’s internal usage

(company data dissemination), and building products and services that a company provides to

its customers.

Already using Data Science/Predictive Analytics?:

• AltexSoft can analyze your existing approach and algorithms, make recommendations for

improvements and implement them.

New to Data Science/Predictive Analytics?:

• AltexSoft can analyze your business and offer beneficial Predictive Analytics applications

A comprehensive portfolio of advanced analytics gives you clear, immediate and actionable

insights into current performances, and the ability to predict future outcomes.


Predictive Analytics Workflow


Machine Learning Expertise

Algorithms and Models

• Regression models

• Decision Tree and Random Forest

• Artificial Neural Networks

• Support Vector Machines

• RBM and Deep Learning (RNN, CNN)

• Clustering algorithms (K-means, etc.)

• Dimensionality Reduction (PCA, LDA, SVD, etc.)

• Ensemble algorithms (Boosting, Bagging, Blending, AdaBoost, etc.)

• and more…

Problem Fields

• Classification (binary, multiclass)

• Regression

• Clustering

• Recommender Systems

• Time Series forecasting

• Computer Vision

• Digital Signal Processing

• Natural Language Processing

• Anomaly Detection

• Optical Characters Recognition

• and more…


Technology Expertise

Programming Languages and Tools

• R, RStudio

• Python, NumPy, SciPy, Scikit-learn

• Matlab, Octave

• Java, Mahout, Lucene

• C/C++, C# .NET

• Azure Machine Learning

Data Storage

• RDBMS: MS SQL Server, Oracle, MySQL, etc.

• NoSQL: MongoDB, Redis, Azure Tables, etc.

Software Engineering

• Software architecture

• Data storages design

• Cloud computing: Amazon EC2, MS Azure, etc.

• Parallel computing


Our Experience – Airlines Price Prediction Algorithm


Approach: AltexSoft’s Data Science team was given a challenging task, to create an algorithm thatpredicts whether airline prices will go up or down over the next seven days. This is a Time Seriesforecasting problem.

After researching the problem, data analysis and a lot of experiments, the team came up with analgorithm that uses ARIMA for forecasting. Along with several additional data filtering, mungingtechnics, and ensemble voting, it gave a correct prediction for up to 85% cases based on validationtesting.

Benefits: Creation of better retention programs increasing customer loyalty via additional featuresfor price prediction

Tools and algorithms: R (modeling), ARIMA, Ensembles, C# (implementation)

Our Experience – Sound Recognition for Healthcare


Approach: The main goal of this algorithm was to detect the target sounds in the nightly recordingof a person sleeping via iPhone or an Android smartphone.

The input data is a sound recording, which means that Digital Signal Processing has to be used toconvert the digital signal into data that can be processed by the algorithm. The main challenge in thisprocess was the correct algorithm of the candidate events extraction. In order to classify theextracted candidate events on true or false signals, several learning algorithms were tested. Theselearning algorithms were taught using a specially created dataset.

Benefits: Operative diagnosis of the patient and clinical information needed to better promotewellness or manage diseases

Tools and algorithms: Python (modeling), Objective-C, SciPy, scikit-learn

Our Advantages


Combination of PhD and Master of Science degree specialists

and skilled software engineers

Good understanding of customer business needs and

challenges

The Usage of state-of-the-art algorithms, research techniques

and tools

Get in Touch


Learn more How Your Business Can Benefit from

Machine Learning & Predictive Analytics

www.altexsoft.com+1 (877) 777-90-97

[email protected]

http://www.altexsoft.com/

mailto:[email protected]

AltexSoftMachine Learning & Predictive Analytics Solutionsthat work for you

Get started today!

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Data Science, Predictive Analytics & Big Data Analytics ...€¦ · The purpose of Predictive Analytics is to forecast what might happen in the future, automatically classify the