Today, with the growing volumes and types of data, organizations are bound to use this data to produce valuable business insights to stay at the competitive edge. The process of Data Mining at Datafortune reveals unmatched business insights and runs with absolute mitigation of the following three cardinal sins of Data Management and Analytics:
1. Overlooking default fields in data mining tools
2. Algorithms can assume data distribution
3. Algorithms cannot figure out patterns on their own
Our statistical wizards bring together the advanced analytics capabilities using predictive modelling, data mining, text analytics, entity analytics, optimization, real-time scoring, machine learning, data streaming and much more to help data driven organizations realize their data related goals. Our specialization in data stream analytics helps enterprises decipher and examine patterns of interest as data is being created via the Internet of Things.
We make multiple environments act like one by seamless capture, deploy, support, manage and access of data from multiple platforms. Our well supported and unified data architecture supports multiple platforms within an analytical environment that helps in seamless data integration and easy management of multiple analytic systems.
We offer expert implementation services for open-source big data solutions ranging from Strategy & Architecture, Analytic Solutions, Data Science, Data Lake and Managed Services. We identify and prioritize key areas where big data can drive value to your business and accordingly perform gap analysis, readiness assessments and ecosystem blueprints to find key solutions that include organizational structure, governance models and resource needs. Our team of experts can help your organization to turn your big data challenges into solutions and tangible business outcomes, faster and at low risk by reducing IT and operational costs, improving insight into customer behavioral data, increasing ROI, and detecting threats and risks.
We produce agile solutions for analytics to create business value on a frequent basis. Based on the business, we build POC (working prototypes for the analytic solution) and conduct a workshop for the business users to get their feedback. Once the POC is approved, we build solutions based on real data with improved requirements from business users that serve the following benefits:
With the techniques like data mining, statistical algorithms, modelling, machine learning and artificial intelligence, we identify the likelihood of future outcomes basis the historical and existing data lying in your data warehouse. We help you understand Beyond What Has Already Happened and provide the best assessment of what will happen in the future. We build and deploy predictive modelling directly into your business processes using our multi-faceted predictive analytics capabilities in a single solution. We amplify your analytics without losing control with R, Python and more.
Detect and reduce fraud, measure credit risk, maximize cross-sell/ up-sell opportunities and retain valuable customers.
Predict equipment failures, future resource needs, mitigate safety and reliability risks and improve overall performance.
Detect fraud insurance claims, identify patients with maximum risk of chronic diseases and interventions needed and to identify those not adhering to prescribed treatments.
Use predictive analytics to determine which products to stock and to measure the effectiveness of promotional events and offers.
Understand population trends, improve service and performance, detect and prevent fraud, better understand consumer behavior and enhance cyber security.
Identify factors leading to reduced quality and production failures and to optimize parts, service resources and distribution systems.
Behavioral Analytics is important for finding why people behave the way they do when using e-commerce platforms, social media sites, online games, and any other web application. We help you get a clearer picture of user behaviour using Splunk, a key User Behaviour Analytics platform that helps understand the interactions and dynamics between processes, machines and equipment which may yield new deductions about operational risks and opportunities.
Organisations benefit from Splunk UBA as it determines a baseline of normal activities specific to the organization and its individual users along with the deviations from normal using big data and machine learning algorithms to assess these deviations in near-real time.
Our analytics experts use various open source platforms that give powerful machine-learning framework, customization ability, and breadth of use cases to help organizations automate the detection of known, unknown, and hidden threats. Our experts also address the entire lifecycle of an attack including insider threats and external attacks and provides customers with the ability to detect, respond and contain threats using Splunk Enterprise Security.
Microsoft Event Hub
Financial services organizations leverage behavioral analytics to identify suspicious and anomalous behavioral patterns as a means to strengthen anti-fraud capabilities; they also link demographic data and traffic patterns to customer profiles to figure out where to locate branches and ATMs
Communications providers enrich customer information with external sources and network usage patterns to gain better views of subscriber behavior – one European telco saw 40% cost savings from 360-degree views
Retailers closely track customer pathing across channels – when, where, how frequently and for which transaction types do customers use various channels (including bricks-and-mortars stores); how they respond to email campaigns, mobile couponing or even television ads
eCommerce players specifically test scenarios and track every click to understand why customers abandon shopping carts or otherwise leave "the funnel" before completing check out.
A picture is worth a thousand or even millions of variables! Especially when you're trying to find relationships or identify new patterns in your data. We facilitate interactive data visualization, so that you can interact with the data you see . Regardless of industry or size, all types of businesses are using data visualization to help make sense of their data and identify areas that need attention or improvement.
Find which factors influence customer behavior the most
Identify outliers that affect product quality or customer churn, and address issues before they become bigger problems
Share business insights discovered via data visualization in an engaging and faster manner using charts, graphs or other visually impactful representations of data
See large amounts of data in clear, cohesive ways and draw conclusions
Faster analysis and comprehension of data helps businesses address problems or answer questions in a timelier manner
Predict sales volumes
Microsoft Power BI
Our data experts use Power BI, a suite of business analytics tools by Microsoft to analyze data and draw insights. Power BI dashboards offer customizable views for business users for all important metrics in real-time and can be accessed from any device.
Datazen is a Windows 8 app that enables dashboard creation and publishing on Datazen Server, dashboards and KPIs accessible on any device via it's native app or web browser.
We make use of Tableau to help you see, understand and interpret your data. Tableau is compatible with desktop, server, and cloud versions.
Roambi Analytics transforms your data into a simple, engaging, and intuitive experience by surrounding data with context and story behind the numbers.
Mobility is the core of digital transformation. We help you leverage contextual, real-time reports and dashboards anytime, anywhere, On The Go!