Solutions

Some of the key SM metrics our solution monitors:

• Tweets that include a specific hashtag
• Track tweets about a keyword that you're interested along with some basic user details
• Keep track of the comments on your Instagram posts. Monitor negative impact via keywords
• Search tweets, for posts from a specific user
• Track Facebook wall messages for specific keywords
• Track all your Twitter mentions
• Get comments on Instagram photos
• Monitor, evaluate sentiment analysis on tweets about a topic (“customer service”, “online store”, “online registration”, “holiday promotion” …)
• All your customer feedback and comments on your corporate website and omnichannel**
• Monitor NPS index performance, benchmarking and real-time predictive forecast***
• Monitor YouTube for activity about your company (or any search query) by getting emails whenever there's a new video that matches the query.
• Monitor Verge and designated RSS feeds for keywords and phrases
• … and more

For a complete list of BIS 2.0 functionality, please contact us to set up a call.

Power up your brand defense with Business intelligence and AI Cognitive service. Harvest selected hashtags and keywords and their sentiments from your social media channels and content platforms. Engage BI and AI cognitive services to monitor and analyze brand health. Utilize our predictive logic to evaluate future trends. Mitigate negative impact on your brand with AI-powered automated brand reputation defense.

• Automatically respond to selected keywords, phrases and hashtags with automated replies
• Automatically respond to posts from selected users with automated replies
• Alert designated staff members via email or mobile push notifications on posts with keywords, phrases and hashtags
• Disseminate your preapproved message (content) to designated social media channels on detection of designated keywords, phrases and hashtags
• Alert designated staff members via email or mobile push notifications on negative sentiment formation in SM channels
• Send out email broadcast to designated list on detection of designated keywords, phrases and hashtags
• Cross post new items on an RSS feed to Blogger
• Email designated staff Instagram photos with designated keywords, phrases and hashtags
• Send an email broadcast or send out a pre-approved press release on specified keyword and hashtag detection
• An approval process around which tweets to send out in your business when a post with monitored keyword or hashtag are posted on social media channels
• Integrate with leading CRM solutions
• …and more

It's important to note that brand attacks can happen anywhere, at any time, and by anyone, including disgruntled customers, competing companies, and even employees. Brand attacks may include:

• A disgruntled employee blogging about their grievances.
• A third-party posting a negative review of a product or service on SM.
• A company's executive team behaving poorly in public which results in SM blowback.
• A change in product packaging which generates negative customer feedback.
• An unethical competitor that spreads incorrect information about a company.

"Ability to effectively mediate brand negative impact is the key to your Brand reputation."

Below are examples of some advantages presented by adoption of big data analytics to various sectors;

Telecommunications
Telecomm service providers use data analytics to analyze and process thousands of documents, images, manuals, customer data and reports in minutes to help their customer service team resolve customer queries more efficiently. They can save a significant amount of time & money when it comes to resolving customer issues over the call.

Retail
Customer service has changed dramatically in past few years as shoppers are expecting retailers to understand what exactly they need and when they need. Retailers are using big data analytics to meet customer demands. With an ocean of customer data from loyalty programs, e-commerce sites, buying habits and all, retailers use predictive analytics to predict trends, future demands and business strategies to boost profitability.

Healthcare
Healthcare industry is one of the most used analytics industry. Healthcare service providers are using data analytics to extract key insights from unstructured patient medical history. The patterns and other information captured from the data help doctors identify patients for chronic disease & other diseases, to offer timely treatment & reduce risk

Manufacturing
Manufacturing companies use data analytics to fine-tune production in order to avoid inventory overruns and balance demand-supply ratio. With the use of predictive analytics, manufacturers are creating personalized products to match customer expectation and lower inventory and warehouse expenses.

Finance
Banking & Investment industry has multiple challenges in the form of securities fraud warning, tick analytics, card fraud detection, audit trail archival, credit risk reporting, trade visibility etc. With the use of data analytics, banks and other financial institutions are monitoring financial market effectively. Trade analytics is being used by many top banks & financial institutes for high-frequency trading.

There are plenty of other industries like communications, energy, technology, government, fashion, entertainment are using data analytics in order to get the best out of their business & customer data

AAS 3.0 open API architecture provides an easy and cost-effective path for AI-powered data analytics.

• Behavioral Anti-fraud solution for your website
• KYC/AML/CFT compliance solution
• Credit & Loan risk assessment solution
• Algo trading

Our solution relies on AI-powered User Behavior Analytics (UBA) and known fraud metrics. UBA is based on the premise that human beings have distinct patterns of behavior, and identifying any deviations in these patterns can point to criminal intent.

The combination of AZN Fraud score and ID Document Verification during the Customer Due Diligence check assists financial institutions in meeting Anti-Money Laundering (AML), Know Your Customer (KYC) and Counter Terrorist Financing (CTF) compliance requirements, as well as reducing the risk of fraud. Our solution also assists with determination if data provided during the onboarding process crosses the threshold for Ultimate Beneficial Owners (UBO) reporting. Our country-specific, configurable antifraud metrics allows our clients to set requirements for each country they operate in:

• Simplified Due Diligence (“SDD”)
• Basic Customer Due Diligence (“CDD”)
• Enhanced Due Diligence (“EDD”)