Solution Specific Offerings
Log Management and Log Correlation
Calculating baseline activity for all collected information in real time and providing prioritized alerts of potential threats even before they occur. Also, analysing data for patterns that may indicate a larger threat.
Real-time intelligence and actionable threat forensics that communicate and learn from each other to combat advanced threats. Intelligent scanning boosts performance and productivity by avoiding scans on known, trusted processes while prioritizing those that appear suspicious.
- Zero-day malware prevention — Stops the majority of unknown malware from the internet, freeing up resources formerly used for endpoint clean-up.
- Full traffic visibility and control — Opens SSL encrypted traffic to uncover hidden threats, cloud application access, and data flow so controls can then be applied to reduce risk.
Adaptive Security scanning enabling us to automatically detect and assess new devices and new vulnerabilities the moment they access your network.
Providing integrated policy scanning to help you benchmark your systems against popular standards.
- Protection against all database threat vectors to meet compliance requirements.
- Comprehensive threat protection — Protects even unpatched databases against zero-day threats by blocking attacks that exploit known vulnerabilities and terminating sessions that violate security policies.
Supply Chain Management
Introducing Blockchain in a multiparty environment can help prove the occurrence of an event and hence help the overall supply chain finance to track and trace asset movements.
Customers Consent Recording / GDPR Solution
To enable non-repudiation, Blockchain can be the absolute solution by managing/protecting the consents and also monitoring the data sharing within and beyond an organization.
RnD Data Long term Authenticity Management
Long Term Authenticity Management of employee documents such as HR/certifications/taxes etc. using Blockchain Signatures is possible as they never expire and verify the authenticity offline too.
Addressing Cyber Insurance
Institutions providing Cyber Insurance can provide Blockchain based products to there customer to enable absolute truth based data sharing between them. For example, sharing logs and data which is Blockchain signed helps cyber insurers be rest assured of the data for forensics.
Mobile Application Integration
Integration to mobile applications to prove absolute data at the source for the back office processing for eg:- capturing timestamp/location/meta data and Blockchain signing the same before sending them for further processing.
On-Prem Hosted Secured Communicator
Secured Communication between higher management and employees on a on-prem deployed communicator enables highest security standards of no communication/shared data leaving the organization.
Securing Critical Transactions Databases from Tampering
Long Term Authenticity management of critical databases on which records should never change and should be tamper evident.
Logs Security as per Compliance
Managing all types of logs and its security specially the integrity of them is paramount for any organization as per compliance and keeping them as digital evidences.
Securing Digital Identity and Brand Reputation
Securing your customer facing application such as websites and business critical applications which may be internal / external from zero day attacks.
Automated Content Checking
A solution for checking the content on a physical document, to reduce overall time, improve efficiency and establish accuracy over manual efforts of a legal back office team for document processing.
Blockchain Integration to Existing Applications
Due to its plug and play functionality integrating Blockchain to existing application is extremely easy and requires almost no efforts or certified Blockchain developers
Research, Design and Develop Products
- Specification management
- Formula management
- Innovation workshops
- Innovation process/operation/ managed services
- IP regulatory
- Rapid New Product Design and Activation
Sourcing & Procurement
- Category Management
- Strategic Sourcing (NLP+ML)
- Contracts Management (ML)
- Commodity Risk
- Operational Procurement (RPA + ML)
- Supplier Relationship & Performance (Chatbots)
- Production Planning & Scheduling (RPA)
- Operations and Floor Management
- Manage Safety & Wellness
- Maintenance (ML Predictive Maintenance)
- Monitor and Control Performance (RPA)
- Asset Management
- Energy Management
Manage Supply Chain
- Inventory Management
- Invoice and Contract Management
- Freight Management
- Supply and Demand Planning
- Returns Processing
Sales & Marketing
- Understand Consumers
- Channel Strategy and Capabilities
- Marketing Optimizing/ROI/Analytics (RPA)
- Marketing & Brand Strategy
- Sales Planning and Execution
- Design Integrated Organizations
- Sales Operations and Digital sales (chatbots)
- Customer Order Management (RPA + OCR)
- Customer/Consumer Service Operations (Chatbots, NLP, RPA)
- Omni-channel (E/m-Commerce, Retail, profitability) (Chatbots & NLP)
- Manage Product Returns (RPA)
360° Customer View/ Enhanced Customer Experience
Retailers can improve customer satisfaction and sales opportunities by integrating all relevant customer data across online transactions, POS transactions, social media, and customer service interactions into one single view. Big Data platform can be used as an Enterprise Data Hub to combine these various sources of data into one repository and obtain that single view.
Personalizing the In-Store Experience
A new trend emerged where shoppers would perform their physical research on products in-store and then purchase online at a later time. Data Analytics can turn in-store customer data sources into a major competitive advantage for retailers. Insights can drive cross-selling, increase promotional effectiveness, and much more.
Customer Acquisition and Retention
Retail companies need to target customer promotions effectively. This requires having a 360-degree view of customers and prospects that’s as accurate as possible.
Customer Journey Analysis
What’s really happening across every step in the customer journey?
Who are your high-value customers and how they behave?
How and when is it best to reach them?
Social Media Analysis
Consumers can use social media to influence over a retailer’s brand, ongoing promotions and a product’s success. Retailers need to monitor online sentiment and respond in real time with relevant messages or offers.
Inspira can help retailers capture, analyze and gain actionable insights from data across multiple channels including search, ads, email and web logs. By analyzing clickstreams they can better understand how consumers make online purchase decisions and then optimize web pages/offers to increase conversion, and lower cart abandonment.
Enables retailers to increase online purchases by recommending relevant products and promotions in real time. Retailers can recommend products based on what other similar customers have bought—providing up-sell, cross-sell or “next best offer” opportunities.
Connected Operations and Supply Chain
Faster product life cycles and ever-complex operations cause retailers to use Big Data analytics to understand supply chains and product distribution to reduce costs.
The key to utilizing data engineering platforms to increase operational efficiency is to use them to unlock insights buried in log, sensor and machine data.
Recommendation engines proved to be of great use for the retailers as the tools for customers’ behavior prediction. Providing recommendations enables the retailers to increase sales and to dictate trends.
Warranty Analytics entered the sphere of the retail as a tool of warranty claims monitoring, detection of fraudulent activity, reducing costs and increasing quality.
The retailers aim to provide a proper product at a right time, in a proper condition, at a proper place. In this regard, the stock and the supply chains are deeply analyzed. Powerful machine learning algorithms and data analysis platforms detect patterns, correlations among the elements and supply chains.
Location of New Stores
Data science proves to be extremely efficient about the issue of the new store’s location. The algorithm is simple, though very efficient. The analysts explore the online customers’ data, paying great attention to the demographic factor.