Services

♦ Silico understands business & technology (Cloud & On-premise)

♦ We identify real opportunities using advanced analytics to increase ROI

♦ We cater to the needs in your current state of BI analytics capabilities and/or advanced predictive analytics

♦ Analytical algorithms examine historical data along with additional variables and build predictive “models”

♦ We leverage different capabilities like ML and AI to enable integrated data to actionable insights from IoT and big data

♦ Empowering users with agile and intuitive processes

♦ Driven by world-class technology Center of Excellence, Data Ops methodology and SMEs we bring innovation and deliver solutions.

♦ Self service dashboarding – power to the business users to design and deploy their own reports and analyses

♦ Dashboarding – interactive report authoring and formatting with one click publishing to filter on demand and slice and dice your data to dig deeper

♦ Custom visuals – Import custom interactive visualizations that work and integrate like out-of-the-box visualizations

♦ R integration – Import R scripts and visualizations into your reports

♦ Quick Insights – Discover patterns and trends in your data automatically

♦ Cloud BI – Agnostic tech team to build BI solutions in cloud

♦ Track your data in real-time with support for streaming data

♦ Drill through to underlying reports to explore and discover new insight

♦ Clients gain access to a robust, flexible, and rapidly deployable data analytics platform that is tailored to your specific business needs

♦ We build the platform’s architecture around the Data Lake – a centralized repository of raw data that enables reduced cycle time and faster turnover to advanced analytics & insights

♦ Data integration to feed in to data warehouse and governed to protect and secure your data

♦ Silico empowers data scientists and business analysts to discover, curate, accelerate and -share data for their specific needs, without burdening IT

♦ Silico enables scalable data architecture which is resilient to store large amount of data and data analytics sandbox platform from data lakes

♦ Silico builds data lakes that facilitate data prep on demand and typical schema on read design

Silico’s service model is the hybrid of both Onsite and Offshore models aimed at optimizing the efficiency and cost of software development. It provides:

♦ Flexible and scalable services distributed between our on-site team and off-shore center.

♦ The on-site team includes our specially trained personnel who are capable of requirement gathering, analysis, testing as well as deployment.

♦ Our team at off-shore is responsible for the actual development of the project and providing support to the on-site team. It is preferable for long term projects where the client doesn’t want to manage a large on-site team.

♦ Our on-site team is always present to accommodate client specifications, analyze the risks in advance and to take steps to mitigate them.

♦ Access to the best technology, better resource allocation, easy availability of resources with various skills and specialization in latest programming technologies

♦ Allows faster Response time – 24/7 turn around of development efforts, if required

♦ With its vast experience in consulting, data architecture and data integration domains, Silico enables organizations manage and optimize data more effectively.

♦ Silico’s data-savvy business intelligence professionals have extensive hands-on experience in leading data engineering tools in the market to design, build and manage big data infrastructure

♦ Leveraging our expertise in comprehensive platforms, we deliver business users greater efficiency in moving, sorting, transforming and analyzing data while improving data quality for effective decision-making.

♦ Enabling business users & analysts to access, profile, prepare, integrate, curate, model and enrich data for analysis and consumption by BI and analytics platforms

♦ Our data engineering standards and processes are tightly integrated with agile architecture

Benefits include:

♦ Accountability for Data – Defining data ownership and reduce overall TCO

♦ Business Agility – Enable Business to rapidly respond to market condition

♦ Better Compliance – Ensure adherence of data to enterprise business rules and legal and regulatory requirement

♦ Stronger Insight – Ensure data consistency and integrity to provide actionable insights

♦ Accessibility of data to users – Ensure right controls are there to protect sensitive data

♦ Enable more effective standardization and maintenance of vital corporate information, and improve support for cross-functional, information-centric business activities

♦ Ensure smooth business process workflow, centralize ownership and accountability, and maintain consistent, valid and availability of relevant reference data across enterprise in one place

♦ Increased operational effectiveness and reduced compliance risk

♦ Facilitate faster and better risk rating and audit

♦ Respond to evolving and growing legislative and regulatory requirements

♦ Providing high quality trusted data source for reporting and analysis.

♦ Silico has expertise in data quality management in healthcare, insurance, finance, retail and quick service restaurants

♦ Silico’s QA enables data management at any/every point in the data flow, depending on data governance policies, business requirements, system architectures, etc

♦ Silico ensures data quality adhering to the following 5 key components: completeness, consistency, accuracy, validity, and timeliness.

♦ Silico recommends managing data quality through data pipeline automation

♦ Silico’s approach will be to test data quality at early and at every layer of analytics

♦ Silico’s data quality solution provides a rich set of data profiling, cleansing and monitoring capabilities that execute during data flow.

♦ Silico’s process bring together Agile Methodology, DevOps practices and Data movement and Analytics.

♦ It encompasses best Data Management practices and processes which improves the accuracy of analytics, speed, automation including data availability, integration, and management.

♦ Silico follows Data Ops methodology for data engineering to acquire, organize, prepare, and analyze/visualize data and eliminate data friction as a barrier to innovation.

♦ Silico’s completely automated dataops approach ensures scalability, availability and faster recovery of data & analytics.

♦ Silico’s DataOps strives to foster collaboration between data scientists, engineers, and technologists so that every team is working in sync to leverage data more appropriately and in less time

♦ Silico’s team of experts understand your needs and the multiple options offered by various platform vendors

♦ Silico simplifies and governs the process of achieving faster integration of data from any source, at any scale, at any time, through robust data engineering/integration tools

♦ Silico provides a fit for purpose architecture that is customized to your need, recommends the best tools for analysts, and the right database technologies for applications, without compromising on the ability to leverage data to power the business

♦ We help achieve migration of legacy archives without any data loss and maintain accurate and complete chain of custody

♦ Silico’s CoE is a mature & self-directing entity, responsible for supporting business & technical users and shepherding projects to successful completion

♦ Our CoE brings together smart people with focused expertise, iterative methodologies that are effective & repeatable with cutting-edge technology built around prescriptive set of enterprise best practices and policies

♦ CoE comprises of internal processes that pertain to intake request management, prioritization of tasks based on value, solution planning, development, and communication of the CoE capabilities to business units

♦ CoE allows for quick response to changing business environments and technology demands

♦ Availability of acquired assets of knowledge, methodologies, reusable components, libraries, standards, tools, etc., from our CoE is leveraged to deliver value to the business rapidly