Making Sense of Big Data with Natural Language Generation

If we are to learn from the best, it’s evident that data is the fuel to propel your growing organization to greater heights. Google used what is termed ‘people analytics’ to develop training programs designed to cultivate core competencies and behavior similar to what it found in its high-performing managers. Starbucks...

A look at the multiple design and customization options Phrazor provides to dashboard creators, to help drive engagement, adoption, and more.

Natural Language Querying, or NLQ, is one of the primary methods through which a business user can synergize his vast experience and answers from the company’s data to arrive at the best decisions, without wasting time on either learning or executing anything new.

The Pharma play is smartening up with automated insights to drive effectiveness in Sales and Marketing efforts.

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Know for sure if your marketing efforts are hitting bullseye or missing the mark.

Gain complete visibility of the human resource lifecycle to drive business value.

What is the best fit for your business needs? Let’s find out.

NLQ holds the potential to completely revolutionize the way the marketing department works, helping them improve lead generation, measure campaign performance, sift through web analytics, and create effective content.

Although BI tools are being widely indoctrinated into a company’s tech arsenal, its usage and adoption still leaves a question mark on the validity of the BI investment made. Some of the common reasons why Business Intelligence tools are not being adopted company-wide are:

Phrazor provides a simple solution: create an additional, ‘modified’ report that holds all your comments and edits, without altering the original report whatsoever.

Due to the cumbersome process of communicating with tech teams, business users have to wait for weeks or days to get even ad-hoc queries answered. The dependency on data analysts is just far too great. Additionally, most dashboards in use today are of a static nature..

Narrative-based drill-down helps achieve the last-mile in the analytics journey, where the insights derived are able to influence decision-makers into action. Let’s understand how narrative-based drill-down works through a real example...

The querying capabilities of Ask Phrazor when compared to the other solutions available in the market, those from Tableau and Power BI, for instance, leave clear daylight between Ask Phrazor and the others. Here are 5 features that showcase how Ask Phrazor is a cut above the rest:

Conversational analytics on dashboards for business users means they can conduct queries and ad-hoc queries on dashboards in real-time, without the need to revert to tech-based teams and wait for days or weeks for reverts.

The most important question that business users should be asking when making important decisions is this: does my dashboard enable me to take decisions independently?

Reports created for the top management do not fulfill their purpose of being useful in strategic decision-making. So what are the top management reporting expectations, and how do you meet them? Read on:

Each report is embedded with language-based insights that make data easy to interpret. These auto-generated insights not only explain the data visible on the dashboard but also mine the underlying data pool to surface hidden insights that would have gone completely unnoticed otherwise.

Even though Tableau Dashboards are loaded with exciting features, and new ones constantly added, organizations cannot justify the cost of acquisition of such high-investment BI Tools due to their inability to contribute to ROI. In other words, business owners are not always able to use dashboards to arrive at all-important decisions.

One would conclude that while there is nothing wrong with traditional BI tools, it is the evolution of data in terms of size and complexity and how organizations use it today that necessitates analytics which is beyond the scope of traditional BI tools.

Market intelligence reports are to enhance your business intelligence and decision-making. Self-service BI tools can help financial service providers expand their offerings, discover unexplored markets, become more efficient.

Dashboards curate comprehensive data analysis and enable users to customize the information they want to be displayed. This article describes the reasons why dashboards seem ineffective and how you can avoid these problems.

Data-driven storytelling makes data and insights more meaningful. This article describes the need for data storytelling, how it impacts businesses and helps in improving the communication of insights.

Learn how Business Intelligence has evolved into self-service augmented analytics that enables users to derive actionable insights from data in just a few clicks, and how enterprises can benefit from it.

Natural Language Generation plays a vital role for media and entertainment companies to create the right customer experience. It improves processes, boosts customer engagement, and gain a competitive advantage.

Natural Language Generation is transforming the pharma industry by increasing the efficiency of clinical trials, accelerating drug development, improving sales and marketing efforts, and streamlining compliance.

Meet Phrazor, our self-service BI platform that turns complex data into easy-to-understand language narratives.

NLG in finance simplifies data management by automating time-consuming and repetitive workflows and increasing the speed and quality of analytics and reporting.

Phrazor collaborates with Hindustan Times and ventures into a new product use case, wherein it can help publishing companies and journalists in automating written content.

Explore how business intelligence systems have evolved into augmented analytics, allowing businesses to become smarter and more proactive.

Discover the nuances of reporting, business intelligence, and their convergence in business intelligence reporting.

Learn why data-driven storytelling, and not just data analytics is necessary to drive organizational change and improvement.

Discover how big data analytics is helping media companies to maximize their entertainment value and enhance their business performance.

From the way creators conceptualize media content to the way consumers consume it, AI is seeping every aspect of the media and entertainment industry.

Discover the role of natural language generation in democratizing business intelligence and building a fully data-driven enterprise.

Learn how natural language generation can help organizations extract the maximum value from their business intelligence tools.

Explore the different ways enterprises can use artificially intelligent automation for HR functions.

See how AI-enabled HR automation is helping enterprises to enhance the end-to-end employee lifecycle.

Learn how the use of big data is impacting the different aspects of healthcare, from diagnosis and drug discovery to treatment and post-treatment care.

Explore the leading present-day use cases of natural language generation-driven reporting automation in the pharmaceutical industry.

Learn how Natural Language Generation (NLG) technology can aid in achieving data literacy across your enterprise to enable data-driven decision making.

Discover why enterprises must understand data literacy and its importance to be prepared for the data-driven future.

Discover how financial institutions are leveraging artificial intelligence and machine learning-enabled natural language generation tools to automate their reporting processes.

Explore how the Banking and Financial Services industry is making the most of automated reporting.

Learn how to capitalize on creating a unique customer experience for your investors with personalized portfolio analysis reports & natural language generation.

Here’s how reporting automation is changing the face of portfolio analysis reporting for better customer experience and understandability.

Here's how organizations are making the most of predictive analytics to discover new opportunities & solve difficult business problems.

Read more to find out the modern approach to Business Intelligence and Reporting

Check out how advanced AI technology like Natural language generation is transforming BI Dashboards with intelligent narratives.

Here's how proper summarization and analysis of data can help increase business value and ROI.

Here's how leading businesses are approaching reporting and analytics using advanced artificial intelligence like Natural Language Generation (NLG).

Read more to find out how Big Data Analytics can help businesses recalculate risk portfolios, help detect fraudulent behavior, and determine the root causes of failures and defects in near real-time.

Business intelligence is a data-driven process for analyzing and understanding your business so you can make better decisions based on real-time insights. Here's how it can benefit your teams and organization.

Here's how intelligent narratives supplement the graphical elements on dashboards and add more value to the information communicated by giving a quick account of the data, deriving key insights, and aid faster, better decision making.

Read how AI and machine learning are paving their way in the educational space by overcoming the traditional challenges of the industry.

Here's how Phrazor demonstrated its capabilities of auto-generating a full-fledged report in just 5 seconds and won the Temenos Innovation Jam in Hong Kong.

Let's understand how and why website and blog content can be auto-generated using Phrazor

Read along to understand how AI is influencing the media and entertainment industry.

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Unleash the potential of AI to overcome business challenges and climb higher up the ladder of success.

Read along to understand the difference between natural language processing, natural language understanding and natural language generation.

AI is a boon to the healthcare industry. Let us understand how it can help medical professionals do their jobs better.

The power of natural language generation in robotizing report writing should be realized in different fields. Here’s why and how.

Here's how AI-backed solutions can help finance companies improve their customer service with language-based portfolio statements.

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Check out how the painstaking tasks of analyzing massive volumes of data and generating reports can be automated for a boost in productivity and revenue.

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Natural Language Generation systems help you convert complex portfolio statments in easy to understand investment stories. Read the article to check an example and also how it's done.

Natural Language Generation (NLG), an advanced artificial intelligence (AI) technology generates language as an output on the basis of structured data as input.

Artificial intelligence (AI) is a field of computer science focused at the development of computers capable of doing things that are normally done by people, things that would generally be considered done by people behaving intelligently.

Big Data can be described as data which is extremely large for conventional databases to process it. The parameters to gauge data as big data would be its size, speed and the range.

Phrazor, an augmented analytics tool uses advanced AI technology and machine learning to pull insights from raw data and present them in simple and succinct summaries, augmented by visuals.