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 organisations make more optimal decisions, thanks to insightful analysis.
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 them, and suggest the most effective strategy for data culture implementation. We provide companies with reliable big data consulting services and a fast implementation process.
GET BIG BENEFITS FROM BIG DATA CONSULTING – WITH A STRUCTURED ENGAGEMENT APPROACH
1. Define business goals that are expected from the insights derived from ‘Big Data’ with Big Data Consulting.
2. Formulate a primary business use case to start with.
3. Conduct a feasibility study of the business use case, including the availability of data.
4. Ensure a defined data governance framework to adequately protect information privacy and security.
5. Connect stakeholders, including senior management as well as users directly linked to the use case.
6. Execute a proof of concept around the primary business use case (PoC).
7. Upon validation of the PoC, assess the choice of tools and technologies and the size of the infrastructure required.
8. Take a structured approach to data ingestion from different platforms, transformation, and analysis.
9. Monitor the adoption and ROI of big data systems.
WHAT IS BIG DATA ALL ABOUT?
Big data is a set of technologies, tools, and strategies that help companies gain competitive insights from collected data. Big data consulting services are 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 analyse large structured and unstructured data sets. Big data tools and our consulting team will make dealing with data in your company much easier, more convenient, and less expensive.
VERACITY BIG DATA CONSULTING SERVICES
Streaming Applications
Application streaming is a form of on-demand software distribution. We carefully choose the most important portions of an application’s code that are being applied to the end user’s computer. The code files and delivers over the network according 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
A data lake is a system of all a company’s stored data. It can include structured data, semi-structured data (CSV, logs, XML, and JSON), unstructured data (emails, documents, and PDFs), and binary data (images, audio, and 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 organisation to use the full potential of its data. The process includes: analysis using operational memory (RAM memory); NoSQL databases; columnar databases that reduce 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.
BIG DATA SERVICES WE OFFER
Big data advisory servicesVeracity draws up a big data implementation and evolution strategy, conceptualises a big data analytics solution, chooses an optimal technology stack, and proves the viability of a complex big data project with a PoC. | Big data solution implementationVeracity designs, develops, and implements a full-scale big data analytics solution with a unique feature set to address your business needs and objectives. |
Big data support servicesVeracity conducts a health check to diagnose the issues within the existing big data infrastructure, provides tailored recommendations, and introduces relevant changes, if required, to ensure the maximised ROI of a big data solution and its smooth evolution. | Big data managed servicesVeracity aggregates and analyses your big data so that you can get actionable one-time or regular analytics insights without the need to set up and maintain a proprietary big data solution. |
BIG DATA SOLUTIONS VERACITY BUILDS
Enterprise intelligence1. Enterprise data warehousing for company-wide data consolidation and storage 2. Corporate performance analytics 3. Strategic and operational planning | Operational analytics1. Operational data storage and management 2. detection of deviations and undesirable patterns; recognition of operational bottlenecks 3. cause-and-effect analysis, operational performance prediction, and forecasting | Customer analytics1. collection and storage of demographic, transactional, interaction, etc. customer data 2. Customer segmentation and customer behaviour modelling 3. Personalised marketing, product recommendations, discounts, etc. 4. Customer churn management |
INDUSTRY-SPECIFIC SOLUTIONS
Banking and insurance1. Capture and storage of data on assets and liabilities; demographic, transactional, behavioural, and social data on customers and policyholders. 2. Risk management (credit risk assessment, counterparty and liquidity risk analytics, etc.) 3. Detecting fraud in cash transactions, check tampering, claims, etc. | Healthcare1. Capture and storage of patient and medical device data 2. Remote patient monitoring (alerting on acute conditions, trends, and patterns requiring a doctor’s attention). 3. personalised care and lifestyle recommendations, personalised risk assessment, etc. | Supply chain management1. Storing real-time inventory, demand, supplier, and inventory cost data 2. Demand/supply balancing in real time; inventory level recommendations 3. Supply chain cost modelling and optimisation 4. Supplier risk estimation |
Real-time asset tracking1. Collecting and storing real-time data on asset location, state (sensor readings), and usage. 2. Alerting on asset misplacement, misuse, underutilization, and pre-failure conditions 3. Asset utilisation and asset performance analytics | Manufacturing1. Storage of equipment sensor and maintenance data, output quality data, etc. 2. Predictive failure modelling in real time 3. correction of production defects or reduced yield | Logistics and transportation1. Storage of real-time GPS data, cargo data (temperature, humidity), data on driver behaviour, vehicle condition, etc. 2. Predictive analytics for vehicle maintenance 3. Operational capacity planning (delivery schedules, labour scheduling, etc.) 4. Dynamic route optimisation |
Retail and ecommerce1. Storage of demographic, behavioural, psychographic, etc., customer data 2. in-store and online personalisation 3. Dynamic price optimisation 4. Sales channel analytics 5. Product/service performance analysis, portfolio optimisation 6. Competitor benchmarking. | Customer analytics1. collection and storage of demographic, transactional, interaction, etc. customer data 2. Customer segmentation and customer behaviour modelling 3. Personalised marketing, product recommendations, discounts, etc. 4. Customer churn management |