Big data consulting is a sophisticated service based on the process of examining vast amounts of data. Our goal is to uncover useful business-wise information and hidden correlations and connections within it. It has been designed to help organizations in making more optimal decisions, thanks to insightful analysis.
Big data strategy implementation, consulting and services helps your company to grow faster and improve the decision-making process.
Our Big Data Consulting company with the help of advanced technologies and tools like Delta Lakes, Spark, Hadoop and Cloud technologies will process your datasets, drive business insights from it, and suggest the most effective strategy of data culture implementation. We provide companies with reliable big data consulting services and a fast implementation process.
Big data is a set of technologies, tools and strategies that helps companies to gain competitive insights from collected data. Big data consulting services is a form of advanced data analytics based on large amounts of data originating from the market itself and your company.
Big Data tools and technologies have been designed to gather, combine, and analyze big structured and unstructured data sets. Big data tools and our consulting team will help you much quicker, more convenient, and cheaper to deal with data that flows through your company.
Streaming Applications
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
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
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 business users and decision makers.
We are a Top Big Data Consulting services Company which provide:
High quality
You don’t have to worry about the quality thanks to our expertise in big data solution implementation
Increased efficiency
We implement solutions that can save you thousands of dollars in operational costs and increase your revenues
Start in 1 week
We can assign Big Data experts to your project in as short as 1 week
Savings
Creating own Big Data and Data Engineering departments might be to huge investment
We will determine specific project approaches, Big Data consulting solutions and advanced technologies that will solve particular business problems and will fit your organization’s infrastructure and architecture. During mutual workshop we will define how best deploy Big Data consulting solutions to your organization and with what kind of solutions you want start with.
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 & solutions. It’s all because of our commitment to stay a trusted Big Data Consulting and service partner. That means that we work as an extension of our clients’ teams staying close to their needs rather than an outsourcing agency.
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 big data analytics strategy.
It is not enough to start with already existing data, to use full potential of big data you have to identify additional data sources that can be used to collect structured & unstructured data.
After that, our team will prioritize and evaluate them during this stage.
To reduce storage costs data is stored in so-called data or delta lakes. A data lake is a repository for storing both structured and unstructured raw and processed data files. Unlike a data warehouse, a data lake implies a flat architecture for storing the data in its source format.
It is possible to build and deploy data lakes using cloud or on-premises infrastructures using dedicated tools such as Hadoop, S3, GCS or Azure Data Lake.
After deciding on data sources and storage, 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.
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.
Every data set you gather provides your company with an opportunity to improve your services or products.
Therefore, data-driven decisions should be present at the company at all levels: product development, pricing, marketing, operations and HR etc.
Testing, measuring and learning — are crucial in the big data analytics 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 too.
As part of our big data consulting services, 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.
The communication process was smooth, which assured us that Addepto was devoted to preparing a high-quality product.
Thanks to the efforts of the Addepto team, the company can now craft more effective business strategies using the data that the solution provides them.
Addepto is a rapidly developing company, that observes the latest technological trends and takes full advantage of it. They offer an individual approach to each client and are open to new challenges.
Their ability to create custom analytics solutions was impressive.
Communication with the Addepto team was easy and fast. Continuous monitoring and measurement of our workflow helped to identify areas for improvement. Their approach from the start allowed us to improve the product taking into account all our requirements. The obtained result fully satisfied our company.
Big data solutions open your business to new niches, new product development and new target audience.
Take advantage of storing data in raw format and query directly files.
Ability to create a more accurate marketing strategy and improve optimization.
Improved communication and customer churn prediction.
Quicker and more precise decision-making process.