Business Intelligence, the modern way!

History is replete with examples of popular companies losing their edge due to improper, inadequate analysis of the market, current trends and the competition. Consider, the American tire company Firestone for instance, which was once upon a time the leading maker of traditional bias tires. Firestone lost its glory when Michelin came up with radial tires – which were safer, long-lasting and more economical than bias tires- that later went on to dominate the US market. Although Firestone had predicted that radial tires will be widely accepted by the automakers and consumers in the US, it couldn’t do much to outdo its new competitor. It invested several million dollars for the production of radial tires but clung to its old ways of working. Rather than redesigning its production processes, it just tinkered with them. The end result? Radial tires of an inferior quality that kept piling up in their warehouses, plants running at an anemic 59 % capacity and tremendous loss of money and resources. In the end, all of Firestone’s intense analysis and action were for naught and the company was ultimately acquired by Bridgestone from Japan. Lack of proper insight on current market trends and improper competition analysis led to Firestone’s downfall.

The famous camera company Kodak too missed the rise of digital technologies. It couldn’t keep up with the changing times – its cameras missed essential features like connectivity with file sharing apps and printers. It’s stock price went painfully low – as much as 96 percent below the peak it had once hit.

Today, although a humongous amount of data is available, there isn’t much being done to leverage it. For data analysis and interpretation, businesses rely on dashboards and BI tools – which are inadequate given that they analyze data at a superficial level and tend to miss out on certain inconspicuous observations. To add to it, dashboard interpretation is time-consuming and requires technical expertise. Also, such manual efforts are biased, erroneous and incomplete, in most cases. This results in missed insights, lost opportunities, lost dollars, misallocation of resources and a negative impact on the reputation of the organization.

Enter Artificial Intelligence (AI). Natural Language Generation (NLG) – a branch of AI – is used by innovative BI solutions like PHRAZOR by vPhrase to generate crisp, coherent and complete summaries from data within seconds. Such a solution dives deep into the massive heap of available data to extract insights most relevant to the organization. The results are presented in the form of Intelligent Narratives coupled with graphical elements and statistical summary.

Consider the snapshot below:

This is taken from the financial statement analysis of a leading bank. As we can see, the graph is supplemented with easy-to-understand narratives that give a clearer picture of the bank’s financial health in no time.

Platforms like these help better understand the context, perform predictive analytics and also provide recommendations. These aid in faster decision making and optimal resource allocation, while significantly boosting organizational productivity and cutting downtime and costs.

Companies today know the importance of understanding the context of the prose in their reports and knowing the subtleties involved in data analysis – and also the fact that this job is better automated with modern BI tools that are gaining popularity each passing day.

How AI is transforming Business Intelligence into Actionable Intelligence

Data, data everywhere but how much of it is actually analyzed? Statistics suggest that it is barely 0.5%. The amount of digital data is growing exponentially, so much that it is doubling every two years. The rate at which we are generating data is rapidly outpacing our ability to analyze it. These massive streams of data need to be turned from a liability into a strength. And rightly so, as this data is crucial for businesses! From increasing brand visibility to getting insights into consumer behavior, increasing efficiency to gaining sales and marketing intelligence, leveraging resources to identifying market opportunities, data speaks a lot!

BI dashboards are currently being used by organizations to perform analysis and derive insights from data. Dashboards graphically represent the status of business analytics metrics, Key Performance Indicators and important data points for an organization – they, however, come with their own limitations. Dashboards present information in the form of tables, pie-charts, and graphs, which put forth the big picture but miss out on the finer nuances involved in data presentation. The manual interpretation of dashboard content requires a certain level of technical expertise. Also, such manual efforts are biased, erroneous, incomplete and time-consuming, in most cases. Although a huge amount of data with potential value is collected, dashboards don’t do much to help understand data in its totality, extract value from it to uncover insights and translate them into business outcomes. Most often dashboard users wish for the content to be explained quickly in a simple language – this is where BI NLG plugins step in!

BI NLG plugins supplement graphical elements with Intelligent Narratives – which are short, comprehensive and insightful summaries from data, generated within seconds. Such easy-to-understand narratives aid decision making, enabling businesses to leverage the right opportunity at the right time. Intelligent Narratives are based on Natural Language Generation – a subset of Artificial Intelligence and are used extensively in the various sectors ranging from banking and financial services to healthcare and education.  For instance, Unilever has been using a BI NLG plugin by vPhrase to generate more comprehensible brand performance reports.

Here is a snapshot:

Benefits of such a plugin, which can be easily integrated into the company’s existing architecture, include:

  • Reduction in time required by the firm to infer action-oriented insights from reports, which helped them make better decisions
  • With the report generation process being automated, resources were redeployed to higher-value activities – leading to significant savings in cost.
  • Error-free, precise and standardized reports were generated, thus reducing turnaround time significantly

Modern BI tools like these are a must-have for businesses today. As Woodrow Wilson once rightly said, “We should not only use the brains we have but all that we can borrow.” 

Data summarization – the way ahead for businesses

We are drowning in a sea of data today. Roughly 2.5 quintillion bytes of data are generated every day at our current pace. 90% of the world’s data has been generated in the past two years alone, which can be credited to web searches, social media, online services, digital media and communication among others. Internet of Things (IoT) – where connected “smart” devices interact with each other – is a primary driver for data explosion today, which has taken a leap from 2 billion connected, data sharing devices in 2006 to a projected 200 billion by 2020.

Data is a precious resource. Sears Holdings, for instance, had a humongous amount of customer, product and promotion data that is collected from its various brands. The company aimed to leverage this data to tailor promotions and other offerings to customers and personalize the offers to take advantage of the local conditions. This was difficult to achieve given the sheer volume and variety of data. Sooner, the company resorted to a solution that generated timely, comprehensive and personalized promotions – also reducing the time required to do the same from eight weeks to one. This was a major boost for Sears’ business.

Timely interpretation and insight generation from data helps organizations in multiple ways – from expanding their customer base to recalibrating business strategies, driving brand loyalty to set up competitive pricing, enhancing workforce productivity to improving organizational efficiency and cutting down costs.

Most companies are however not in a position to make the most out of their data – only 12% of the data that they have is ever analyzed. This can be attributed to the lack of a suitable platform to make sense of the data. It is practically impossible to analyze massive volumes of current, historical and real-time data – which is where a data summarization tool comes in handy. Such a tool would sift through all the data to generate short, comprehensive and insightful summaries, which in turn would aid in making business decisions faster and identifying current market opportunities.

For instance, based on aggregated data from social media, a company may want to determine the sentiment for its latest product offering. In this scenario, a data summarization tool would serve as a valuable marketing asset.

Consider a media house that would want to understand the performance of its channels based on various attributes like the shows aired, the location, etc. A data summarization solution like PHRAZOR by vPhrase can mine through terabytes of collected data to generate a report as below:

As we see, the graphical elements and narratives summarize the data, providing the readers with short, actionable insights that are easy to consume and act upon.

A popular healthcare company has been using PHRAZOR for market analysis across various regions. Here is a snapshot:-

PHRAZOR can be easily integrated with the company’s existing architecture and be configured to generate reports for everyone across the organizational hierarchy. The language, level of detail and the context of the report can also be configured so that every reader gets information that is most relevant to them.

More and more companies are realizing the tremendous business value associated with proper summarization and analysis of the available data.  To address the challenges associated with the same, they have been increasingly looking at data summarization tools and platforms.

“Things get done only if the data we gather can inform and inspire those in a position to make a difference.” – Mike Schmoker

NLG modernizing businesses!

Advancement in technology has redefined the way businesses operate and take on new challenges – those of ever-increasing data volumes, inadequate analytical know-how and rising operational costs among others. Natural Language Generation, or NLG as it is popularly known, is one such technological breakthrough focused on generating human-readable prose from data. NLG is an integral subset of artificial intelligence, cognitive computing and analytics combined. Data in a structured format is analyzed to generate comprehensible narratives along with graphical elements. Such easy-to-understand narratives aid in making faster and well-informed business decisions. Moreover, the dollars spent on the tools and resources to do analytical work are substantially reduced, which makes NLG platforms a huge hit!

Consider a report like this:

PE ratios, Bid and Asks, EPS, etc. aren’t understood by everyone at a glance. Instead, if the health of the company and the market, in general, is presented in layman terms in a wordable report, it would help investors make the most out of the current market trend.

Investment advisory houses can generate intelligible portfolio statements with an NLG platform – helping their clients understand money better and have a clear picture of their financial goals. For instance, picture this:

A media house can leverage an NLG platform to compare the performance of its various channels and to gauge its position amongst its competitors. Here’s an example of one such channel performance report generated by a leading Natural Language Generation platform – PHRAZOR by vPhrase.

Intra-organization, PHRAZOR can be used to automate the generation of performance reports – thus helping businesses in boosting organizational efficiency and employee productivity. What’s more, PHRAZOR can be easily integrated with the company’s existing architecture and be configured to generate reports for everyone ranging from the junior most employees to executives. The language, level of detail and the context of the report can also be configured so that every reader gets information that is most relevant to them.

Innovative solutions like these are helping businesses stay on top of their game and grow by leaps and bounds!

Natural Language Generation explained

We are all familiar with Intelligent Personal Assistants like Siri, Alexa, Cortana, and Google Assistant. These are adept at understanding the context of the query and presenting results in spoken language, sometimes also providing useful links, maps for directions, etc. Such systems are based on Natural Language Processing (NLP) – a combination of computer science, artificial intelligence, and computational linguistics – aimed to help humans and machines communicate in natural language, just like a human to human conversation. An effective NLP system is able to comprehend the question and its meaning, dissect it, determine appropriate action, and respond back in a language the user will understand. An NLP-based Intelligent Personal Assistant comprises four modules, namely Speech Recognition, Natural Language Understanding (NLU), Natural Language Generation (NLG) and Speech Synthesis.

Natural Language Generation is one technology in vogue with the global natural language generation market size expected to grow from USD 322.1 million in 2018 to USD 825.3 million by 2023, at a Compound Annual Growth Rate (CAGR) of 20.8% during the forecast period. NLG systems analyze the given data and generate narratives in conversational language. This technology is being increasingly adopted by enterprises to enhance productivity by automating time and resource-intensive data analysis and reporting activities. The rate at which data is generated is much higher than the rate at which humans can analyze and interpret it to gain insights and arrive at business decisions – as a result of which current market opportunities are lost. This is where an NLG system would save the day! A machine can analyze data and present it to users in a comprehensible manner at an extraordinary scale and accuracy, helping the firm cut down costs, enhance customer satisfaction, improve organizational efficiency and generate more revenue.

vPhrase has been ruling the NLG space with its patent-pending platform PHRAZOR. A leading Indian private sector bank has been using PHRAZOR to do portfolio analysis and generate quarterly reports for its clients. The reports are generated in simple, conversational language helping clients quickly understand their financial health and investment status, as a result of which client satisfaction with the bank has shot up. The platform also provides investment-related recommendations, after close analysis of market performance.

A stock broking company in India has its research team analyze all the companies listed on the National Stock Exchange and Bombay Stock Exchange on a quarterly basis. All the companies listed need to be analyzed on the basis of 35-40 indicators such as Debt/Equity ratio, PE ratio, Market capitalization, EPS, Bid Price, Ask Price, Volume traded, etc. Having fed the performance indicators into PHRAZOR, it churns out easy-to-understand quarterly analysis reports within a matter of seconds.

A prime media company has been deploying PHRAZOR to understand which of its shows have the maximum positive impact on the ratings. Given the performance data, PHRAZOR provides crisp narratives coupled with a statistical summary to highlight the performance of various shows being aired on the channel and their impact on the ratings. It also helps to identify shows not making the cut along with reasons for the same. Information about rival channels is also quickly presented in an easy-to-understand manner, giving the channel a fair idea about where it stands in the competition.

Natural Language Generation has made its presence felt in various domains ranging from banking and financial services to media, healthcare, and education. It is here to stay to help businesses improvise their processes and tread faster on the path of advancement!

Demystifying Big Data Analytics

‘Big Data’ is a term used to refer to a collection of data that is huge in size and grows exponentially with time. The data set is large and complex, is difficult to store and process using traditional data management tools. For example, the New York Stock Exchange generates about one terabyte of new trade data per day. Also, more than 500 terabytes of new data get ingested into the databases of social media site Facebook, every day. 72 hours of video are added to YouTube every minute. Google receives over 2,000,000 search queries every minute. Data volumes are expected to grow 50 times by 2020. This data is mainly generated by uploading photos and videos, exchanging messages, adding comments, etc. Big Data is characterized by its massive volume, high velocity, variety, veracity, and complexity.

Big Data can be generated by machines, humans, and organizations. Machine-generated data refers to data generated from real-time sensors in industrial machinery or vehicles and is the biggest source of Big Data. Data comes from various sensors, cameras, satellites, log files, bioinformatics, activity tracker, personal health care tracker and many other senses data resources. Machines generate data in real-time and normally require real-time action. With human-generated data, we refer to the vast amount of social media data such as status updates, tweets, photos, videos, etc. Such data is generally unstructured. The organization generated data is highly structured in nature and trustworthy. It is in the form of records located in a fixed field or file and is generally stored in relational databases.

It is not the amount of data that is important, but what organizations do with it. Big data can be analyzed for insights that lead to better decisions and strategic business moves. It is used to enhance operational efficiency and serve customers better. Big Data, combined with high powered analytics can help business recalculate risk portfolios within seconds. It also helps detect fraudulent behavior and determine the root causes of failures and defects in near real-time. Big Data Analytics is crucial for the growth and success of a firm.

The computing power of Big Data Analytics enables us to decode entire DNA strings in minutes and will allow us to find new cures and better understand and predict disease patterns. Big Data Analytics is also used in the High-Frequency Trading space, where social media trends and news feeds are analyzed in split seconds to make buy and sell decisions. By examining customer data, Walmart can now predict what products will sell and car insurance companies can understand how well their customers actually drive. Enhancing customer satisfaction is one of the most sought after goals of Big Data Analytics today.

Although tools like NodeXL, RapidMiner and KNIME are available to analyze data, they have limitations with respect to data extraction and visualization. Other drawbacks include:

  • The inability to combine data that is not similar in structure or source and to do so quickly and at reasonable cost
  • The inability to process the volume at an acceptable speed so that the information is available to decision-makers when they need it

More so, there is a shortage of people with the skills to bring together the data, analyze it and publish the results.

All the above-mentioned challenges can be addressed with a solution like PHRAZOR by vPhrase that automates data analysis and report generation. The reports contain graphical elements coupled with comprehensive narratives to aid quick understanding, and thus faster decision making.

For instance, PHRAZOR studied real-time television channel performance data and generated the following report:

Apart from the news and media industry, it also finds applications in the healthcare, education and BFSI sectors.

Big Data is at the foundation of all the megatrends that are happening and it is up to us to leverage the power of analytics to march forward and realize our business goals.

Business Intelligence Decoded

The world’s most popular cooking site and largest digital food brand uses Business Intelligence (BI) to understand user preferences as they navigate through the site. The user’s behavior is tracked based on various parameters like the kind of food pages visited, amount of time spent on a particular page, food categories preferred, device used to navigate through the site, frequency of visit, etc. This allows them to personalize the experience, helping each user find relevant content faster and thus serving them better. Customer satisfaction shooting up added to the popularity of the site and generated more revenue. BI not only helped in running a successful marketing campaign, but also in generating a good return on investment.

Business Intelligence is a suite of software and services that convert raw data into important information that drives profitable business actions. Business Intelligence solutions perform data analysis to generate reports, summaries, dashboards, maps, graphs, and charts that provide users with meaningful insights about the business.

The image below aptly explains the process.

Image Credit: DTM Systems

Business Intelligence solutions are extensively used to identify Key Performance Indicators (KPIs), understand market trends and spot business problems. They benefit the organization in multiple ways described as follows:

  • Enhance productivity: With the process of data analysis and interpretation becoming faster and more efficient, business is understood better and reports are generated at the click of a mouse thus allowing employees to save enough time to focus on higher value activities.
  • Understand market behavior real-time:  By analyzing current trends and spotting business opportunities at the right time, fact-based decisions can be made in favor of the business.
  • Improve ROI: By doing a comparative analysis of various business strategies, BI solutions help to identify the ones cutting the most cost and time, reducing the risk factor and generating the highest profits for the firm.
  • Protection from online threats: Business Intelligence solutions equipped with powerful analytics and advanced security tools protect organizations from data breach and malware attacks.
  • Enhance marketing and sales intelligence: BI solutions help gain insights into consumer behavior, helping marketing professionals design strategies to target the right audience at the right time, and in the most appropriate way.
  • Optimize internal processes: Availability of relevant information to various teams within the organization speeds up various internal processes, improves operational efficiency and ensures optimal resource utilization.

It is estimated that the Business Intelligence and Analytics market will grow to $20 billion by 2019. Executive Management, Operations, and Sales are the three primary roles driving Business Intelligence adoption in 2018. Making better decisions, improving organizational efficiency, growing revenues and increasing competitive advantage are the top four business intelligence objectives organizations have today. Additional goals include enhancing customer service and attaining greater degrees of compliance and risk management.

Current BI solutions analyze data from the warehouse to present information in the form of dashboards, which include graphs, charts and pie-diagrams. The collection, extraction and transformation of data to be loaded into the warehouse is a time-consuming and costly process. Moreover, understanding dashboard content not only requires a certain level of technical expertise, but also there are chances that the interpretation is prone to human error and bias. A more sophisticated yet low-cost business intelligence solution like EXPLORAZOR by vPhrase solves these problems by not only generating insightful dashboards but also writing stories to describe them. EXPLORAZOR, unlike other Business Intelligence platforms which create static dashboards, creates dynamic dashboards which change every time a fresh data set is ingested. EXPLORAZOR sees to it that you don’t miss out on any important insight. This ensures that opportunities aren’t lost and faster, well-informed decisions are made.

Modern BI solutions like EXPLORAZOR form the crux of organizations that aim to stay competitive and remain viable in this increasingly data-driven world.

What are Intelligent Narratives and why every business needs them?

About 1.7 megabytes of new information will be created every second for every human being on the planet by the year 2020. Data is growing faster than ever before and with sophisticated mechanisms like the cloud, it can be efficiently collected and stored. However, less than 0.5% of all data is analyzed and used at the moment. The reason? Organizations have limited time and resources that can be dedicated to data analysis and interpretation.

Business Intelligence tools output information in the form of reports and dashboards, which include tables, pie-charts and graphs focusing on the company-specific Key Performance Indicators. The graphical elements on a dashboard put forth the big picture but miss out on the finer nuances involved in data presentation. Although a huge amount of data with potential value is collected, dashboards don’t do much to make the most out of it. Moreover, the manual interpretation of dashboard content requires a certain level of technical expertise and in most cases is biased, erroneous, incomplete and time-consuming. Most often dashboard users wish for the content to be explained quickly in a simple language. Dashboards don’t do much to help understand data in its totality, extract value from it to uncover insights and translate them into business outcomes.

Those who lag in understanding lag in performance, which is why we have Intelligent Narratives to supplement the graphical elements on dashboards and add more value to the information communicated. Narratives give a quick, compelling and coherent account of the data, present information that matters most to the user and aid faster, better decision making. With narratives, data is presented in the form of stories – in conversational language, and is translated into useful, actionable insights.

Intelligent Narratives are based on Natural Language Generation – a subset of Artificial Intelligence and are used extensively in the various sectors ranging from banking and financial services to healthcare and education. The media industry is leveraging the power of Intelligent Narratives to gain a competitive advantage. For instance, Sony has been using the narratives generation platform PHRAZOR by vPhrase to understand channel performance reports better.

What looked like the following with dashboards,

Now looks like this:

The platform automates the analysis of data and presents it in narrative form, cutting down time and cost by a huge amount. Speaking of Sony, the tasks of data analysis, report generation and comprehension which took 5-6 hours combined, can now be accomplished in less than 30 minutes with PHRAZOR. The platform is scalable and can process a much larger chunk of data in lesser time, thus bridging the gap between data and action.

Businesses need Intelligent Narratives as they provide the following benefits,

  • Accurate analysis at the right time, enabling organizations to make the most out of current business opportunities
  • No special skills or training needed for interpretation
  • Organizational productivity shoots up as people can focus on higher value activities
  • Help with customer satisfaction

AI revamping the educational space

Artificial Intelligence (AI) and Machine Learning are touching our lives in many ways –from smart cars to virtual personal assistants like Siri and Cortana, games like Call of Duty, Facebook’s photo tagging suggestions based on facial recognition to recommendations on Netflix – we have seen it all. AI has been a boon to the healthcare industry by providing assistance to doctors, improving healthcare processes and treating patients more effectively. The BFSI space too has embraced AI to automate data analysis and reporting, detect frauds and serve customers better with the help of intelligent chat-bots.

The potential of AI in the field of education is yet to be tapped completely. Recently the US-based IT services provider HTC Global announced its plans to expand into the Indian educational space with their AI-powered recommendation engine and student services. HTC Global’s recommendation engine suggests courses and electives based on their utility during placements and also the student’s caliber and interest. By venturing into the student services space, the company looks forward to ease out the tedious admission process.

AI and Machine Learning based facial recognition software can be used for attendance tracking. The software “learns” over time and is able to map faces of the students with their respective names or student IDs.

The “one size fits all” approach is one of the major drawbacks of traditional classroom programs – and teachers cannot do much about it. It is difficult to understand the needs of 40-50 students in the class and provide personalized coaching while also looking into a ton of other school activities. AI has stepped in to address this issue effectively by introducing adaptive learning software – it facilitates custom tailored education by responding to the needs of each individual and taking into account their grasping power and degree of understanding.

Third Space Learning has been providing one-to-one mathematics tutoring online, connecting students with teachers from all over the world. It uses Big Data and Analytics to provide real-time feedback to teachers about how the concepts taught have been received, if they’ve missed out on or need to stress more on any particular topic, etc. Teachers also get a clear picture of each student’s performance, their strengths and weaknesses, thus helping them address the gaps present in education early on. Third Space Learning employs AI to find positive teaching and learning patterns. The company’s goal is to create a platform that helps online tutors become better at teaching.

The social network Brainly that helps millions of students collaborate is now exploring the power of AI on its platform. Brainly has been using AI and Machine Learning algorithms to curate content, automate the filtering of low quality or spam content and  personalize its platform’s networking features.

Augmented Reality (AR) and Virtual Reality (VR) help students “feel” the content rather than simply learn it. By being able to watch the wrecks of the Titanic or the Harappan civilization or the planets in space through multi-dimensional lenses, students feel more involved and learn better. Benefits of AR and VR include enhanced engagement and improved retention.

Natural Language Generation, a subset of AI, has changed the way student performance reports are presented. Subject-wise grades in a tabular format can be now complemented by intelligent narratives, which explain the student’s performance in a comprehensible manner, point out areas that need improvement and also provide subject recommendations based on the student’s academic profile and personality type. Companies like vPhrase are making this possible with their patent pending platform PHRAZOR.

The fast pace at which AI is gaining traction in education sure heralds a promising future.

vPhrase emerges as the winner at the Temenos Innovation Jam in Hong Kong

Temenos, the leading provider of banking software, has been guiding over 2000 financial institutions in 145 countries towards their digital future, for more than two decades. The regional Innovation Jams conducted by Temenos annually are aimed to identify the best FinTech firms that would provide the most business value to their banking clients.

vPhrase emerged as the winner of the Temenos Hong Kong Innovation Jam and will now compete with winners of Innovation Jams held in Miami, Luxembourg, Dublin, Geneva, Abu Dhabi, London and Amsterdam, for a place in the global final to be held at The Temenos Community Forum (TCF) in Dublin in May 2018.

The Innovation Jam in Hong Kong started off with a discussion on accelerating innovation in financial services. It witnessed some of the finest FinTechs from across APAC showcasing their solutions to industry experts and leaders of top financial institutions. vPhrase’s Artificial Intelligence based platform PHRAZOR was received well by the audience and the company garnered 36% votes, followed by Innovation Navigator (19%), Exate Technology (15%), Mindbridge AI (10%), Wealth Initiative (8%), Verrency (5%), Know Your Customer (4%) and Signatys (4%).

PHRAZOR generates comprehensible narratives along with statistical summary, given structured data as input. It makes data analysis and interpretation easier, helping one make well-informed decisions faster. During PHRAZOR’s demonstration in Hong Kong, a challenge was put up wherein the audience stood a chance to win free beer if they could decipher Apple’s quarterly earnings report within one minute. Nobody could. PHRAZOR stepped in and not only correctly analyzed the complete report, but also presented the result in a way the audience could quickly grasp – all this in less than five seconds. The nifty business intelligence platform left the audience impressed and the common sentiment echoed was that it is an innovative solution that solves a problem almost every industry leader faces.

On winning the public vote at the Hong Kong Innovation Jam, vPhrase Founder and CEO Neerav Parekh, said: “It is heartening to be voted the best product by an audience which consists of senior leaders from leading enterprises. Professionals have to look at a lot of reports daily and a product like PHRAZOR, which helps enterprises make their reports easier to understand by communicating the key insights in a few bullet points, feels like a god-sent for them. We already have the largest enterprises in India using PHRAZOR and are now looking at expanding into other countries in Asia. Participating in this event and then winning it has definitely helped us build awareness for our brand in Hong Kong and beyond.”

Congratulations to the vPhrase team!