In short, data analysis services are about cleaning, transforming, and modeling data to discover meaningful insights for business decision-making. DA is immensely diverse, but eventually, it boils down to four main categories:
Descriptive: “what is going on?”, the simplest and the most common type. Among examples of its use in business are KPI dashboards, revenue/sales reports;
Diagnostic: “why is it going on?”, looking for the connections and trends, quite common in business practice. For instance, investigating, what has driven customer retention rates down or the prices up.
Predictive: “what will happen in the future?”, prognosis. Risk assessment and sales forecasts, for example, fall into this category;
Prescriptive: “what should we do about it?”, recommendation. This is the most advanced type of analysis, requiring a reliable data basis, a clear understanding of the organization’s goals and objectives, and intricate knowledge of its strengths and weaknesses.
No forecasting or devising strategy is possible without a solid descriptive and diagnostic foundation. But sometimes it’s difficult to make sense of all the data, coming in at you from every angle. That’s where data analysis comes in handy. So if the task of setting up the necessary technology seems just a little too daunting, you can outsource the data analysis services. In any case, we at Data Science UA don’t make all the decisions for you – but we do our very best to provide you with all necessary information quickly and conveniently.
How does data analysis make your life easier?
Imagine the world without tediously juggling multiple data sources or wrestling with giant spreadsheets to get the report ready. Imagine how fantastic it would be if a monthly overview were waiting for you in your inbox on the first day of a new month. And not just any report, but the one with highlights and conclusions, making everything crystal clear. That – and so much more – that’s the world Data Science UA can offer you.
In particular, we can help you with:
- Customer behavior analytics (both online and offline);
- Market analytics – understand your competitors and available niches;
- Workforce analytics;
- Business Intelligence and reporting systems development;
- Digital analytics (digital marketing, data science web analytics, online advertising)
KPI’s monitoring and management at your fingertips – we create reporting systems for owners and managers to provide them with information about what’s going on in and around their company in almost real-time. Therefore, they can remotely control some processes, making decisions without even being present at the office.
Why choose Data Science UA as your data analysis company?
We turn data science and data analytics from scary to merry:
- You need an answer to the question you still cannot define clearly? Don’t worry. We will sort it out; that’s what we are here for.
- Business objectives of a client come first;
- We can find all required domain experts to conjure up the best solution; we believe in going the extra mile.
- We can create cross-service projects (like consulting + data analysis and data science + recruitment or any other combination);
- We treat each project as our own business. If you do fantastic then so do we. It’s a win-win all around.
What’s unique about our approach:
- Information requirements are the key. We revert the logical chain, starting from the final point: decisions to be made → information required (KPIs, etc.) → initial data formats and necessary transformations → data sources;
- We start with goals and objectives, helping you to explore the answers; the question like “What categories of clients are there and how do they differ?” is precise enough for us to handle;
- Moreover, we answer the questions you didn’t even ask! No, we are not telepathic but we are ready to take on ‘Oh my God, we have 20 years of data, what should we do with it?’ situation, carrying out data science exploratory analysis.
- We distinguish between technical solutions and business solutions: insights and recommendations are our domain, but it’s up to you to decide what to do with them;
- We also strive to improve data-mining skills of your team, perfecting decision-making;
- We integrate data analysis into your business, making it one of the critical processes.
Giving your company the tools to grow from strength to strength.
What industries does Data Science UA work with?
Marketing teams tend to have lots of data about advertising, web analytics, customer behavior, etc. We can fine-tune all data analysis solutions to run like clockwork and free up more of your marketing team’s time to be strategic and effective. Our team uses machine learning to:
– forecast sales;
– recommend products;
– analyze assortment and so on.
2. Retail (E-commerce)
Retail usually accumulates large amounts of data and is eager to use data analytics.
We can help with:
– customer analysis;
– assortment analysis;
– sales forecasts;
– marketing and advertising budgets optimization;
– increase the efficiency of merchandising and supply chain management.
Generation of optimized plans that enable predictive maintenance is one of the key goals for AI in manufacturing, as well it helps in:
– optimizing production lines and logistic chains;
– forecasting revenue;
– determining optimal employee workloads;
– setting up automated systems for monitoring compliance with safety regulations.
When artificial intelligence is working with IoT devices it means that data can be analyzed and decisions can be made without involvement by people. In a broad variety of industries where IoT is implemented, AI can help to identify patterns and detect anomalies in the data that smart devices and sensors transfer (for example, air quality, humidity, temperature, pressure, vibration, sound, and others).
FinTech companies usually work with sensitive information and have high-security standards. We take all necessary precautions to keep their data safe. Data Science UA can assist such businesses in:
– credit scoring;
– recommendation systems for both new and prospective clients.
6. Logistics & Warehouses
The transportation and warehouse industry is data-driven and needs analysis of historical and real-time data performed by intelligent algorithms. So our team can help with:
- traffic management improvements
- warehouse optimization,
- route optimization (“travelling salesman” problem),
- developing optimal loading systems and utilization systems for vehicles;
AI can help insurance companies deliver high-quality service as it has done for major leaders in other industries such as Healthcare, Fintech, etc.
We can help to:
- create a more personalized service;
- predict the repair costs from historical data;
- provide a selection of better investments based on risks, preferences, and spending patterns;
- improve claims analysis.
Farmers aim to maximize production and profits using innovative software and data collection and analysis. We can make the analysis of historical and real-time images & data collected from databases, satellites, drones, IoT sensors that can help to:
- increase the yield of farmlands;
- ensure serviceability of farm equipment;
- monitor fields conditions, irrigation, soil moisture, etc;
- predict weather conditions.
Nowadays AI helps to deploy effective cybersecurity technology and allows businesses to solve major cybersecurity challenges: cyberattack, financial loss, or brand reputation damage. We can help cybersecurity teams to:
- analyze patterns in user behaviors and respond to changing behavior;
- identify cyber vulnerabilities and irregularities in the network.
AI is already transforming the healthcare industry—helping patients and hospitals optimize costs and increase care delivery through actionable insights. We can help to:
- manage and analyze data to provide;
- improve preventive care;
- create personalized treatments;
- make optimization of scheduling and bed management;
- detect and analyze patient patterns and correlations for better decision making.
Founder and CEO, Elafris Inc
CEO and Founder, Reply
Michael Korkin, Ph.D.
CTO at Entropix, Inc.