Big Data Consulting Services
Analyze Large Datasets and Boost Your Operational Efficiency
Our Big Data Consulting company with the help of advanced technologies like Artificial Intelligence and Data Science will process your datasets, drive business insights from it, and suggest the most effective strategy. We provide companies with reliable Big Data Consulting Services and a fast implementation process.
Big Data Consulting Solutions
Big data consulting is a sophisticated service based on the process of examining vast amounts of data. It uncovers useful business-wise information and hidden correlations and connections within it. It has been designed to help organizations in making more apt decisions, thanks to insightful analysis. Big data analytics helps your company to grow faster and improve the decision-making process.
The benefits of big data consulting can never be overrated. You can think of any field of doing business on a large scale, and we bet big data might be applied to it with ease. To name some of the critical benefits, let’s say it’s of significant importance for:
- New business opportunities (new niches, new product development, new target audience)
- More effective marketing (more accurate marketing strategy, better optimization)
- Better customer service (customer churn prediction, improved communication)
- Improved operational efficiency (quicker and more precise decision-making process)
Big data analytics, along with business intelligence, are your guides through almost unimaginable amounts of data.
Addepto Big Data Consulting Services include:
Application streaming is a form of on-demand software distribution. We carefully choose the most important portions of an application’s code which is being applied on the end user’s computer. The code files and delivers over the network accordingly to actions performed by a particular user. Applications are run by a virtual machine on a central server which is separate from the local system.
Data Lakes and Delta Lakes
Data lake is a system of all company’s stored data. It can include structured data, semi-structured data (CSV, logs, XML, JSON), unstructured data (emails, documents, PDFs), and binary data (images, audio, video). Delta Lake acts as an additional storage layer that brings reliability to your data lakes. It uses versioned Parquet files to store data in cloud storage.
Big Data Processing
Big Data Processing is a set of techniques that enable an organization to use the full potential of its data. The process includes: Analysis using operational memory (RAM memory); NoSQL databases; Columnar database that reduces the number of reading data items during query processing; Graph databases and analytical tools; Extracting, Transformation and Loading (ETL) operations; Processing big data with interactive data querying; Predictive analytics.
Data integration is the combination of business and technical processes 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 a business users and decision makers.
BIG DATA CONSULTING SERVICES – RELATED CASE STUDIES
Big Data and Analytics in Mobile Gaming
We helped a mobile gaming company to increase IAP, LTV, and retention using artificial intelligence-driven technology. We implemented analytics in mobile gaming, transformed big data into an appropriate format, implemented fraud detection, and applied machine learning-based tools enabling our client to predict customer lifetime value (CLV), as well as customer churn. Through Modern Data Warehouse and BI implementation, we achieved data monetization.
Embedded Analytics in a Saas Application
We developed an analytics system with self-service interactive dashboards and reports to analyze customers’ data and improve customer experience (customer 360). Additionally, we implemented a customized machine learning system for customer churn prediction, sales predictions, and recommendation systems which results were visualized using BI. We created a tailor-made data integration solution for both structured data and Big Data sources, combined together in a data warehouse.
BIG DATA SOLUTION – IMPLEMENTATION STRATEGY
Big data can become one of your company’s most valuable resources. However, it won’t be able to play its role unless it is identified, gathered, managed and analyzed. To deal with this challenge, you need a reliable analytics strategy.
1) Identifying data sources
If we start with already existing data, we have to identify additional data sources that can be used to collect the data. Then, we prioritize and evaluate them during this stage. Data can be kept in so-called data lakes. A data lake is a repository for storing both structured and unstructured data. Unlike a data warehouse, a lake implies a flat architecture for storing the data. It is possible to build and deploy data lakes using cloud infrastructure or on-premises infrastructure.
2) Connecting data sources to your clients
After deciding on data sources, we connect them to the needs of your clients. Let’s say, if you are leading the retail chain, we can collect the data with the help of digital coupons. A customer gets a coupon for a discount and is happy to visit your place. In turn, you also get what you want.
3) Incorporating new data hubs
The next step is incorporating new data hubs one by one. This is a gradual process. In this way, you will have enough time to adjust your operations and understand how to use the data.
4) Connecting the clients’ data to your company’s processes
Every data set you gather provides your company with an opportunity to improve the services or products. Therefore, data-driven decisions should be present at the company at all levels: product development, pricing, marketing, etc.
Testing, measuring and learning — are crucial in the analytical process. When collecting another data set, we will test the related assumptions to make the right decision on how to move forward. Big data visualization tools and techniques are important at this stage.
Our AI developers and architects use the best tools and technologies available on the market. We are strongly committed to open source technologies so our customers do not have to pay additional fees after implementations.
Why Work With Us – Top AI Software Development Company
You don’t have to worry about the quality thanks to our expertise
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
Creating own AI departments might be a big investment for the future
Experienced Data Science engineers
Lines of code
Proprietary algorithms created
We will determine specific project approach, Big Data solution and advanced technologies that will solve particular business problems and will fit your organizations infrastructure and architecture.During mutual workshop we will define how best deploy Big Data solutions to your organization and with what kind of solutions you want start with.
Trust is a foundation for great products
Our customers from various industries often cooperate with Addepto for many years. Together we are trying to achieve strategic goals and build innovative products and solutions based on Big Data technology. It's all because of our commitment to stay a trusted Big Data Consulting partner. That means that we work as an extension of our clients’ teams staying close to their needs rather than an outsourcing agency.
Addepto’s technical expertise led to the delivery of an innovative and efficient solution. Their proactiveness was a noteworthy aspect of the engagement. Their understanding of business processes streamlined communication. Customers can expect a dedicated and timely development team.
Head of IT
The modules they have created provide accurate and detailed reporting that allows an in-depth analysis of all KPI’s and much more. Addepto’s project management approach was streamlined and efficient, which produced top-notch results.
Addepto completed the project to spec, and the software is now live. Knowledgeable in machine learning and flexible, the team pivoted well throughout the development process. They were committed, communicated regularly, and produced quick turnaround times.
Marketing Business Intelligence Director