Our BI experts can add value to your campaign by doing Company, Industry profiling and data Visualization
BI(Business Intelligence) is a set of processes, architectures, and technologies that convert raw data into meaningful information that drives profitable business actions. It is a suite of software and services to transform data into actionable intelligence and knowledge.
BI has a direct impact on organization’s strategic, tactical and operational business decisions. BI supports fact-based decision making using historical data rather than assumptions and gut feeling. Business intelligence combines business analytics, data mining, data visualization, data tools and infrastructure, and best practices to help organizations make more data-driven decisions
Business intelligence in data analytics
Business intelligence includes data analytics and business analytics but uses them only as parts of the whole process. BI helps users draw conclusions from data analysis. Data scientists dig into the specifics of data, using advanced statistics and predictive analytics to discover patterns and forecast future patterns.
Data analytics poses the questions, “Why did this occur, and what might occur next?” Business intelligence takes those models and algorithms and breaks the results down into actionable language. Enterprise analytics includes data mining,
predictive analytics, implemented analytics, and facts, according to Gartner’s IT lexicon.” Organizations use enterprise analytics as a component of their large-enterprise intelligence approach, to put it briefly.
Our Business Intelligence Methods
Data Management Strategies
The organisation take a holistic approach in adopting a data strategy optimize their operational cost, instant data availability, derive valuable insights, gain a competitive advantage by being integrated into business operations. It is essential to implement the right data quality tools, techniques & a holistic strategy that delivers meaningful results. We are diligently focused on the possibilities to optimize the architecture to reduce maintenance costs. We provide our customers with a sufficient stack of compatible platforms and services needed to satisfy the business needs.
Data Governance
We define data governance strategies describing data retention policies, user roles, access rights, backup, restoration of data and responsibilities as well as data-related standards and metrics. These strategies aim to provide an organisation wide transparency for capturing, storing, processing and accessing data
Data Security
We analyze the business specifics and apply best practices such as deploying firewalls and security protocols to protect the data access layer. We evaluate the capacity and reliability of the architecture and technology stack as well as suggest ways to improve the security level. We make sure your data is always protected and encrypted at rest, as well as in transit.
Data Integration
We integrate data flows from disparate data sources into meaningful and valuable information. We build robust restful APIs with secured access & modular architecture, seamlessly integrate the data into centralized database. Data integration can help you to understand the different influential factors that affect the growth.
Data Enrichment
The company, contact and business data information get deeply enriched and thoroughly validated to improve your strategic assets by filling the necessary gaps including validation of emails. This helps you to formulate key strategies to grow, make your decisions more informed & predictions more accurate.
Metadata Data Management
We design strategy for creating and managing an organisation’s critical data effectively. We assess all external and internal data sources as well as relevant technologies to come up with standards and metrics to 360-degree view of data and enable users to deliver better business insights.
Data Migration
We perform technical assessments at schema level, SP functions, identify sensitive & critical data before performing the migration. We devise a plan to expediate the migration, minimize errors, automate the process as possible to ensure the data integrity, no loss of data. Rich experience on data migration from SQL to SQL, SQL to noSQL, moving from on-prem to cloud solution, etc.
Data Cleansing
It includes checking the format, data consistency, duplicate data check, analyzing the data to identify potential (e.g. product data, marketing data, financial data, etc.) issue. We automate this process by applying rules, segmentation and data audit check.
Data Quality Assurance
We run data quality assurance process through series of data cleansing, enrichment and data validation activities to make your insights genuinely true to life. We plan to have combination of both automated test and manual eyeballing of the data to improve the accuracy rate and confidence level of data by more than 97%.