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With PwC Capabilities and Experience
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We provide a wide range of digital services across various industries

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Business Intelligence
Сonsolidate, clean, and modify big data to construct powerful interactive dashboards and derive business insights
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Machine Learning Modeling
Build and train intelligent ML models to predict key business indicators and generate data-driven strategies
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Robotic Process Automation
Automate routine procedures to allow employees to focus on more valuable tasks and minimize human errors

Our projects for public use

Click below pictures to access our projects.
Note: these dashboards are based on publicly available data and are periodically updated. They do not reflect PwC opinion on the topic but just show the data analysis
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FS Tool
Analysis on Kazakhstan's Banking Sector which covers financial reports and compliance measures based on prudential benchmarks
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Air Quality in Almaty
Analysis of air quality in Almaty measured by PM2.5 and correlation with weather conditions such as temperature, wind, humidity, cloud coverage
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TBC
TBC

Test our demo data analytics dashboards

Click below pictures to access demo dashboards
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Pricing Tool
Analysis on Kazakhstan's Banking Sector which covers financial reports and compliance measures based on prudential benchmarks
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Audit & Reporting
Analysis of financial transactions which covers high-level reporting, identification of potential high-risk transactions and other insights
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TBC
TBC

How we do it:
Data Analytics example

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Our Client has an enormous amount of data and wants to derive business insights from it and streamline their decision-making processes
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However, their data are currently messy, stored in different databases and formats, so they need our help with consolidating and cleaning it
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Our team performs ETL operations:
  • Extracting data from different sources
  • Transforming data into clean and standardized format
  • Loading data into one database
For this, we use a wide array of tools such as Advanced Excel, Python, SQL, Alteryx, Amazon Web Services
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Then we use a variety of tools and programming languages to analyse the data, write custom algorithms and logical functions to get more insights
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Finally, we connect the prepared data to a visualization tool such as PowerBI or Tableau and engineer user-friendly interactive dashboards with charts and infographics that the Client wants to see
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Now, our Client can use this dashboard with automatically updated data and get more valuable insights for strategic decision-making, risk management, fraud detection, predictive analytics, management reporting, and much more
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Our Client has an enormous amount of data and wants to derive business insights from it and streamline their decision-making processes
img
Our team performs ETL operations:
  • Extracting data from different sources
  • Transforming data into clean and standardized format
  • Loading data into one database
For this, we use a wide array of tools such as Advanced Excel, Python, SQL, Alteryx, Amazon Web Services
img
Finally, we connect the prepared data to a visualization tool such as PowerBI or Tableau and engineer user-friendly interactive dashboards with charts and infographics that the Client wants to see
img
However, their data are currently messy, stored in different databases and formats, so they need our help with consolidating and cleaning it
img
Then we use a variety of tools and programming languages to analyse the data, write custom algorithms and logical functions to get more insights
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Now, our Client can use this dashboard with automatically updated data and get more valuable insights for strategic decision-making, risk management, fraud detection, predictive analytics, management reporting, and much more

How we do it:
Machine Learning example

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Our Client wants to segment their customers into groups to offer personalized service packages
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We choose the appropriate machine learning model, configure it for specific business objectives, collect data on customer behaviour, and run it through the machine learning algorithm
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We then check the output of the algorithm for accuracy and feed adjusted data back into the model until it is adequately trained to make its own segmentation predictions
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Upon completing our tests, we develop algorithms that help our Client to customize communication with each individual customer by sending personalized offers
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Our Client now has a proprietary machine learning engine and an automated solution that can send targeted offers to customers, thus increasing sales, improving customer satisfaction, and encouraging loyalty
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Our Client wants to segment their customers into groups to offer personalized service packages
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We then check the output of the algorithm for accuracy and feed adjusted data back into the model until it is adequately trained to make its own segmentation predictions
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Our Client now has a proprietary machine learning engine and an automated solution that can send targeted offers to customers, thus increasing sales, improving customer satisfaction, and encouraging loyalty
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We choose the appropriate machine learning model, configure it for specific business objectives, collect data on customer behaviour, and run it through the machine learning algorithm
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Upon completing our tests, we develop algorithms that help our Client to customize communication with each individual customer by sending personalized offers

How we do it:
Robotic Process Automation example

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Our Client spends too much time processing PDF forms and manually inputting them into their system through procedures that are prone to errors, cause delays, and increase costs
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Here comes the Robotic Process Automation - we examine business processes that can potentially be automated and use software such as UiPath to develop robotic solutions
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We can build as many robots as our Client needs and ensure that they run automatically as often as required
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The implemented solution carries out routine tasks and reports on the work performed, thus allowing our Client to minimize errors and increase employee productivity
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Our Client spends too much time processing PDF forms and manually inputting them into their system through procedures that are prone to errors, cause delays, and increase costs
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We can build as many robots as our Client needs and ensure that they run automatically as often as required
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Here comes the Robotic Process Automation - we examine business processes that can potentially be automated and use software such as UiPath to develop robotic solutions
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The implemented solution carries out routine tasks and reports on the work performed, thus allowing our Client to minimize errors and increase employee productivity

PwC Technical Expertise

Combining business acumen, analytical skills, and experience with state-of-the-art tools and software

We use the agile approach to project management

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No extra costs
Pay for what you need without any unreasonable costs
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Fast results
Get a working product in a short period of time
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Vital functions
Add new functions until you are happy with the outcome

Meet the Team

Your team of PwC professionals
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Natalya Lim,
Partner
PwC Advisory
Natalya has 17+ years of experience in consulting. She is the Advisory Leader of Eurasia with experience in more than 100 transactions. She supports clients with strategy and operational excellence, applying the data driven decisions.
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Timur Akhmetov,
Manager
PwC Advisory
Timur has 10+ years of experience in data analytics and banking. Since joining PwC in 2017, he has participated in numerous data analytics and data-driven due diligence projects with clients in the banking sector. Timur specializes in database operations, data manipulation, report automation, and modeling.

Contact Us

Your first step towards digitalization
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PwC Kazakhstan
34a Al-Farabi Avenue
Almaty, Kazakhstan
timur.akhmetov@pwc.com
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