Data and Analytics Consulting Services


Extract Insights From Your Data Using Advanced Analytics
Techniques and Technologies


Business benefits

Data and Analytics Solutions help businesses to use the huge amount of data they collect to extract useful insights from it


Data and Analytics Consulting Services
Statistical Data Analysis
Reporting Automation
Data Integration
Data Visualization
Data management
Benefits
Data and analytics strategy
Learn more
Cooperation with Addepto

We use modern techniques and technologies which apply to the best data and analytics services


Collecting and storing data has become easier and cheaper than ever. Getting information out of it and turning it into value and money – is what companies struggle with. Addepto experts have a lot of experience working with various companies to help them execute business information management solutions using gathered data.

Based on the large amount of collected data, we build solutions and design reporting and data visualization systems that bring huge value to the decision-makers.

The explosion of information associated with digitization, IoT, and customer interactions, every day contributes to the increasing number of structured and unstructured data. That is why companies face the challenges of how to use the collected data. Addepto team believes that the ability to use collected data is the basis for the effective functioning of a company on the market.

Our data science experts can help your organization execute business solutions using important digital data. As a data and analytics consulting company with global, and multi-industry experience, Addepto can help your business to achieve better financial results and help you plan ahead.

Let’s begin a transformation with the use of data and analytics capabilities!


Statistics is a science that involves data collection, data interpretation, data validation and hypothesis testing


Statistical data analysis is a procedure that includes performing some statistical operations using programming languages and modern technologies.

Addepto team consists of experienced quantitative analysts and data science experts who build statistical models from data to validate and quantify some business problems. We offer high-quality data and analytics services.


Reporting automation is process which brings users relevant and useful information in automated way


Without the manual user interaction with reporting systems.

In automatically way users have delivered straight into their computers or mobile devices. Automated reports and dashboards could be generated at concrete time, day or week.

At Addepto, our data science and business intelligence consulting experts build reporting systems which triggered by certain events. Example of such event is demand that has now increased to a critical level that must be resolved.

Contact our team to learn more about data and analytics capabilities!


Data integration is the combination of business and technical processes


It is used to integrate data from various data systems and sources into meaningful and valuable information.

A complete data integration solution delivers trusted data from various sources to support business users and decision-makers. All thanks to data and analytics consulting!


Data Visualization is the representation of information and data using interactive visualizations and filters


By using various visual elements like barcharts, scatter plots or maps, data visualization tools provides companies with an accessible way to see and understand trends, outliers, KPI’s and patterns in data.

In the world of Big Data analytics, data visualization tools and technologies are essential to analyze massive amounts of information and make data-driven decisions.


Data management is focused on the efficient handling of data within your organization.


It encompasses a wide range of data management activities to ensure your data is well-organized and maintained. You can rely on us to handle data management tasks, allowing you to focus on your core business activities.

Our expert team specializes in data management and will work closely with you to develop a tailored data management strategy that meets your specific needs.

Whether it’s data cleansing, data integration, data storage, or data governance, our team has you covered. With data management, you can rest assured that your data is in capable hands, ensuring its accuracy, accessibility, and security.


Data & analytics consulting company can help you improve various aspects of your business


Digital advertisement

Digital advertising has been revolutionized by data and analytics. Data & analytics applications are widely used in digital billboards and website banners.

The main goal of today’s digital advertising is to understand the behavior of users and use historical data to improve customer experience.

Delivery

Data and analytics are critical when it comes to examining collected data and improving a company’s overall efficiency. Businesses offering delivery services are now able to find the best shipping routes, improve delivery time, as well as choose the most cost-efficient means of transport.

Risk detection

This data & analytics services application uses data and analytics to calculate the probability of a customer defaulting. Such information enables businesses to take action in advance and decrease the level of fraud.

Healthcare

Thanks to data & analytics services, healthcare centers can track patients’ treatment and patient flow as well as how hospitals are using the medical equipment.

This use of data and analytics can significantly increase the efficiency of processes carried out in healthcare facilities.


A data and analytics strategy is a plan that organizations develop to leverage data effectively for informed decision-making and business success


Data and analytics strategy involves defining goals, outlining processes, and identifying tools and technologies to collect, process, analyze, and interpret data.

Data and analytics strategy aims to align data science initiatives with organizational objectives, ensuring that data-driven insights contribute to improved performance and competitiveness.


Embed data and analytics deeply into your business processes at the decision-making point


It will bring you results you did not expect.

Addepto data & analytics consulting company can help you apply data analytics throughout your whole organization to protect, grow, and optimize your business and its operations by adapting the latest advanced technologies available on the market.


We will determine an approach that will fit your organization's infrastructure and architecture


Our solution and chosen business intelligence tools will solve particular business problems that your company is facing.

During a joint workshop, we will define what is the best way to deploy Data and Analytics Consulting to your organization and with what kind of deployment you want to start with.



Data and Analytics Strategy







Discover a feasibility study


The feasibility analysis provides in-depth details about all data flows in the organization to determine if and what data can be used to resolve specific business problems.

Preparing data for the analysis


Data preparation is the process of cleaning and transforming raw data before its processing and analysis. It often involves reformatting data, making corrections to data, and creating datasets.

Statistical data analysis and insights extraction


Statistical data analysis and insights extraction are when we can collect and analyze vast amounts of data to identify common patterns and trends and – then – convert them into meaningful information.

Preparing reports based on extracted insights and knowledge sharing


With clear visualizations, stakeholders can extract meaningful, actionable insights from data analysis. This is crucial to help the company use the data in practice to increase efficiency and revenue.


Technologies


New technologies will help you adapt to changing customer needs and behaviors, as well as manage and take advantage of exponentially growing data volumes. With them, we are able to provide high-quality services.


Frameworks

Programming languages


TensorFlow


TensorFlow – TensorFlow is an open-source machine learning library developed by Google Brain Team, used to build and train machine learning models, including deep neural networks. It provides high-level APIs such as Keras that make it easy to build and train models without needing to write complex code, visualization tools, and pre-built models and datasets.

PyTorch


PyTorch – PyTorch is also an open-source machine learning library, yet it is was developed by Facebook's AI Research team. PyTorch allows Data Scientists to prototype and deploys machine learning models using Python. It is used in various applications such as computer vision, natural language processing, and reinforcement learning.
R


R – With built-in statistical functions, R was made specifically for machine learning applications. This language also has an extensive library of data visualization tools, which makes it easy to create charts, graphs, and other visualizations of data. Moreover, R has an interactive console that allows users to explore data and experiment with different analyses and models in real time, enabling Data Scientists to test different models and approaches. R - as well as Python - can be easily integrated with other tools and languages, such as Python, SQL, and Hadoop.

Key benefits

Why Work With Us



High quality


You don’t have to worry about the quality thanks to our expertise


Increased efficiency


We implement solutions that can save you thousands of dollars in operational costs


Start in 1 week


We can assign experts to your project in as short as 1 week


Savings


Creating own AI departments might be a big investment for the future


FAQ


What is Data Analytics?
Why should companies invest in data analytics solutions?
Who is a Data Analyst?
Is data analytics a good career?
What are data analytics applications?
What are the types of data analytics services?


What is Data Analytics?


Data analytics is a form of advanced analytics based on large amounts of data originating from the market itself and your company. It has been designed to gather, combine, and analyze data in a way that otherwise wouldn’t be possible.

Data analytics consulting is a much quicker, more convenient, and cheaper way to deal with data that flows through your company.

Why should companies invest in data analytics solutions?


Data analytics provides companies with priceless business knowledge that refers to their:

  • Business
  • Customers
  • Procedures
  • Vendors
  • Workforce
  • Cash flow

And many other significant spheres of running a company.

With data analytics solutions implemented, managers can make a more informed decision and act based on a solid foundation.

Who is a Data Analyst?


A data analyst is a Big Data expert who specializes in collecting, organizing and interpreting data. The main goal of data analysts is to make statistical information useful in making business decisions. Data analysts must be fluent in data analysis tools on a daily basis.

Is data analytics a good career?


Data analysts with developed skills and experience are in high demand right now. Companies are looking for experts who can make their data valuable. Passionate data analysts can count on good salaries, various perks and great opportunities for career development.

If data and analytics seem like an interesting field for you, it is definitely worth considering becoming a data analyst.

What are data analytics applications?


Some of the most popular data analytics applications include:

Supply chain analytics. Big data in the supply chain comprises datasets for analysis that go beyond traditional internal data that comes from the enterprise resource planning systems (ERP) and supply chain management systems (SCM). It also implements highly effective statistical methods for new and existing data sources. As a result, many useful insights are gathered, and they facilitate better informed and more effective decisions.

Improve customer service. Nowadays, customer service is 100% data-based. Just consider social media, CRM systems, chats, and chatbots, and call centers-it’s all data! Companies also highly value real-time customer analytics for delivering business profit in the following areas: improving customer experiences and improving customer retention and loyalty.

Cost reduction. Processes like quality assurance, vendor management, testing, and shipment can involve many complications and hidden costs. Data analytics consulting can provide priceless insights on the impact of different variables in the production process. As a result, the company can adjust its production techniques and practices to optimize it.

What are the types of data analytics services?


Prescriptive analytics: In short, this service helps you to determine the best solution among many possibilities. Typically, prescriptive analytics is based on known parameters and suggests options for taking advantage of a future opportunity or mitigating future risk.

Descriptive and outcome analytics: It’s mainly about spotting and analyzing trends within your data. Companies use this service to see how the behavior or habits of their customers have changed over time. Outcome analytics provides you with an insight into customer behavior that drives specific outcomes. This service allows you to understand your target audience better.

Predictive analytics: It’s big data’s crystal ball. Predictive analytics uses various models to forecast what might happen in specific scenarios. This service is frequently used to assess future sales levels or the situation on the market.

Diagnostic analytics: This service is primarily based on determining why something happened in your company. It’s almost exclusively focused on historical data and helps you draw conclusions that will help you avoid making the same mistake in the future.


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