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Big Data Development Company
Managing massive transaction records, financial information, customer data, and other large amounts of data is a critical component for a successful business.
Unicsoft is a Big Data development company specializing in harnessing raw data and converting it into usable insights proven to change how a business operates.
Ultimate Value Big Data Delivers to Businesses
Challenges Associated with Collecting and Processing Big Data
Many companies dealing with big data have problems with data silos or data quality: it may be unstructured, have different formats, contain duplicate records, etc. Data can’t be accessed centrally. As the complexity of big data software grows, the number and probability of errors will gradually increase.
Data consolidation is necessary as well as creating a data directory in which all records will be structured and sorted.
Most companies need to constantly increase their data volumes. However, existing capacity soon becomes insufficient, and companies must take steps to optimize performance of an existing system. The main challenge is to acquire a new cloud-based system to store and process new volumes of data.
There are different big data solutions —from machine learning to data simulation and business intelligence. However, if you have never dealt with any of them before, it can be complicated and confusing to choose one.
It is important to find experts who will analyze your specific needs and develop solutions specifically for your business.
When different departments of an enterprise use different software and hardware solutions, data leakage or desynchronization is very likely to occur. Moreover, not all solutions are suitable for an end-to-end integration, so the structure of a big data system turns out to be unnecessarily complex and expensive to maintain.
Deep automation and the rejection of manual control of the system are required.
As technology advances, companies’ business goals and the needs of their customers also change. It is no longer possible to rely on historical data analytics for marketing and consumer analysis.
Companies need a tool that would provide up-to-date filtering of irrelevant data and streamline the processing cycle for new data. This way innovations will be introduced as quickly as possible.
Before starting to leverage big amounts of unstructured data, it has to be checked, formatted, and cleaned up. While data processing by a specific algorithm can take minutes, its preliminary cleaning can take weeks.
There are many advanced methods for organizing and cleaning data, and it is important to decide on the one that would fit your case.
Our Big Data Development Services
Consulting
Data infrastructure & engineering
Development
Combining AI, ML, and Big Data
Analytics
Data visualization
Support
Big Data Industries We Serve
Finance
Retail traders, big banks, hedge funds, and other sectors of the financial markets use Big Data for trade analytics used in high-frequency trading, pre-trade decision-support analytics, sentiment measurement, predictive analytics, etc. The industry relies on Big Data for risk analytics, including anti-money laundering, demand enterprise risk management, and fraud mitigation.
Media
Companies in this industry have to simultaneously analyze customer data along with behavioral data to create detailed customer profiles. This data is then used to create content for different target audiences, recommend content on demand, and measure content performance.
Healthcare
Hospitals are using data collected from patients to allow doctors to use evidence-based medicine and not to administer several medical/lab tests to all patients who go to the hospital. Free public health data and Google Maps can be used to create visual data that allows for faster identification and efficient analysis of healthcare information. Such data is critical when tracking the spread of chronic disease.
Education
Big data is used at universities to track the overall progress of a student over time. It is also used to measure teachers' effectiveness to ensure a pleasant experience for both students and teachers. Teacher’s performance can be measured according to student numbers, subject matter, student demographics, behavioral classification, etc.
Government
In this industry, the most significant challenges are the integration and interoperability of Big Data across different departments and affiliated organizations. Big Data is used to figure out patterns, prevent fraud and falsification, and protect the country.
Insurance
Big Data is used in insurance to gain insights, analyze and predict customer behavior and thus allow for better customer retention from insurance companies. When it comes to claims management, predictive analytics from Big Data is used to offer faster service and prevent frauds.
Retail
Big Data for retail means a deeper understanding of consumer shopping habits and how to attract new customers. Dig Data analytics helps companies create personalized recommendations based on customer purchase history that result in improved customer service and a personalized shopping experience.
Transportation
The use of big data and data sensors helps with improving safety, operational efficiency, and fleet flexibility. Providing real-time data about fuel consumption, vehicle travel speeds, and the health of the entire engine allows for providing timely maintenance and improving the efficiency of the fleet, minimizing idle time and time spent in transit.
Telecom
Big Data can help telecom companies increase profitability, optimize network usage, enhance customer experience, and improve security. For example, Big Data Analytics can help identify the peak hours so the company can prepare itself to withstand the load and avoid any kind of slowdown.
Big Data Development Process
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