Big Data and Advanced Analytics
A few years back Big Data tools and technologies were something exclusive to a large federal or a big financial project. But in the last few years of exponential growth in the number of technology citizens, a dramatic reduction in the cost of hardware resources and computing devices have made our modern world witness a data explosion. These changes in the technology paradigm have made small to mid-size companies in all verticals realize the importance of Big Data analytics and Advanced Analytics and Predictive Solutions how it can be leveraged to compete for the global market.
Big Data tools are not only giving an edge to the organization to keep ahead of the grueling competition but also helping to make more intelligent decisions by analyzing real-time data.
Our Experts can help with:
Platform Selection
Architect and Implement
Machine Learning
Legacy Migration
Managed Support and Services
Predictive Analysis
Its helping the retail sector to study the buying patterns of their customer, product-based companies to analyze market reaction over a product or a product feature, financial and banking firms to prevent fraud, calculate risk, comply with federal agencies regulation and monitor KPI and logs, e-commerce businesses to run and analyze online campaigns, study clickstream data to optimize the recommendation engine, listen and analyze mood of the customer on various social media platforms and manufacturing firms analyzing IoT data. With the ability to store and report on both structured and unstructured forms of data gives an endless possibility what a data can do.
Due to the high demand for analyzing and converting data into more significant business opportunities, businesses need adequate ways to deal with it. Whether enterprises are using data internally or externally, the buzzword “Big Data” seems to be inevitable and has become a critical element in today’s data-intensive world this leads to the model of the 3Vs - high volume (amount of data), high velocity (incoming and outgoing speed of data), and high variability (range of data types and sources) which the industry continues to use today. Along with the volume of data came more challenges that require new ways of processing data to enhance decision making and process optimization and to enable us to carry out day-to-day critical customer and product-centric decision making.
Our Big Data Consulting Services
Scalar Solutions is one of the leading Business Intelligence, Analytics, and Big Data consulting company and solutions firm. Our Big Data experts have helped several clients in different industry verticals such as financial, insurance, retail, e-commerce, and healthcare in making better data-driven decisions and solving the business challenges with the data which always existed on the hardware but had limited capabilities to leverage full data potential.
At Scalar, we recognize that Big Data technologies, cloud computing, databases and techniques for data analysis, machine learning, and natural language processing are among the forefront of top priorities for organizations and we are well-positioned to help our clients with utilizing these technologies and tools with custom-tailored solutions within unique budget situations.
Consulting Fees and Engagement
We understand that every client has a different goal and budget. We have several flexible models of engagement (Onsite, Offsite at Scalar's Office, Remote, Offshore, and combination of one or all) which is custom created based on your unique budget and constraints. Our lean operation and flexible engagement model keep our consulting charges are well below the market rates. Request for some of our sample end-to-end Big Data and Analytics project fees.
Development & Implementation Services
We have helped customers in various phases of Bigdata environment setup operation and analysis.
Laying down the roadmap for implementation infrastructure planning, integration & architecture, capacity planning & performance, decision-making about cloud/on-premises strategies.
Installing and setting up the environment on Hortonworks or Cloudera. Architecting the ecosystem and migrating the legacy systems into Data Lake.
Developing custom scripts and leveraging Sqoop, Flume, and other external tools for Data Acquisition
Developing PIG, Scala scripts for transformation and incorporating business cases and rules.
Data integration, 360-degree analytical views, managing data quality & metadata, big data analytics that include statistical programming, text mining Analytical and information management software
Machine learning mechanism, model & advanced analytics
