Latent View Analytics
LatentView Analytics is one of the world’s largest and fastest growing digital analytics firms. We help companies drive digital transformation by helping them combine digital and traditional data to gain a competitive advantage. LatentView provides a 360-degree view of the digital consumer, enabling companies to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates and optimize investment decisions.
Four ways your company can get started implementing AI. Enhancing consumer engagement through AI powered chatbots · Artificial Intelligence (AI) is dramatically changing business, and chatbots, fueled by AI, are becoming a viable customer service channel.
The best ones deliver a customer experience (CX) in which customers cannot tell if they are communicating with a human or a computer. AI has come a long way in recognizing the content – and context – of customers’ requests and questions. They are ubiquitous on nearly every brand website today – making a significant mark in consumer-facing tasks through fast and consistent support. Revolutionizing healthcare analytics through artificial intelligence and machine learning ·
According to a recent study conducted by Forbes magazine, Americans visit the doctor on an average of four times a year.
While a long wait to schedule an appointment is one of the reasons that discourages patients from visiting a hospital, the cost of healthcare also acts as a major deterrent to people to seek the medical help they need. A good healthcare system not only contributes to the welfare of the citizens, but also boosts the economy by making sure that productive labor is not lost due to down time.
Latentview. Latentview. Digital Analytics LatentView Analytics. Digital Analytics LatentView Analytics. Digital Analytics LatentView Analytics. How to make Artificial Intelligence work for your organization. Artificial Intelligence (AI) is poised to have a transformational impact on business.
Information technology is no longer just about process automation and codifying business logic. Instead, insight is the new currency, and the speed with which we can scale that insight and the knowledge it brings is the basis for value creation and the key to competitive advantage. According to Gartner, AI will be one of the top five investment priorities for more than 30% of CIOs globally, by 2020. Many organizations are still early in their data science journey and are trying to understand how AI can transform their businesses. How forecasting is changing business across industries. Widespread use of forecasting across industries Forecasting is a process that is ubiquitous across industries, be it Retail, Operations, Marketing, Manufacturing, Logistics or any industry that deals with uncertainties in the global and domestic market.
When it comes to industry based forecasting, the maturity of the models play an important role in the accuracy of the forecast, thus making for improved decision making and planning. This will further help secure increased market share. Listed below is an industry specific approach to forecasting and how it plays a vital role: Decoding the Data Science terrain: part 2. In our previous post, we described a technology/process neutral framework for data science and analytics which was more abstract and high level.
In this blog we will look to dive down into the details by dividing the analytics landscape into six layers: 1. Decoding the Data Science terrain: Part 3. In the previous post in this series, we talked about use cases or ways to monetize and extract value from information.
Here, we’ll talk about the beginnings of the information supply chain, i.e. the place where data originates before it is collected, transformed into information, and learned as insights that drive optimal actions. supply chain It’s a cliché to say that data is the lifeblood of any business. The variety of data sources in a typical Fortune 500 organization look as diverse as a tropical ecosystem, with huge amounts of diversity. As far as data is concerned, what’s being used today is just the tip of the iceberg. Let’s dive into the ocean to figure out what’s actually below the surface.
What 2018 has in store for Artificial Intelligence and Machine Learning. Observation: The data obtained was the analysed to see where these products were predominantly being used.
It can be observed that QuickBooks Desktop was being used widely in the Accounting vertical, QuickBooks Online being used in Accounting and Marketing verticals almost equally, Xero and Sage were used the most in Information Technology & Services while FreshBooks and Sage were being preferred in the Marketing & Advertising vertical. Also, while ‘Small Merchants, prefer QuickBooks Online over the rest, the product that gained momentum in the ‘Mid-Market’ and ‘Enterprise’ categories was Sage. Furthermore, since QuickBooks Online product was aimed at catering to the accounting needs of small and medium businesses, dislikes and negative sentiment associated with the product is a major concern for Intuit. Representation: Contact optimization: Engaging customers this holiday season. When it comes to understanding customer sentiment in the holiday season, Analytics is the gift that keeps on giving!
With the help of customer data, your team can target buyers, plan seasonal promotions, and manage inventory levels. The holiday season accounts for 20% of the retail industry’s annual sales and could also be responsible for up to 30% of some individual retailer’s total annual sales. As the stakes are extremely high during such a short period of time, you can’t afford to let customers down with bad experiences and miss out on their business. Research shows that “49% of companies who champion the use of Marketing Analytics are likely to have profit well above their competitors.” It’s one of the best ways to differentiate your business in the market.
With email marketing, your business can create deeper relationships with a wider audience at a fraction of the cost of traditional media. The peril of unsubscriptions About 0.2% email users unsubscribe annually as per mailchimp. Data Analytics Framework. Optimize Marketing Spends. When it comes to internet businesses, advertisement revenue generated from a cultivated base of users is one of the key metrics that define their success and longevity in the fiercely competitive space.
According to a recent study conducted by HBR, more than 1.6 million commercial sites operate on the web, all vying for the attention of potential buyers. It is apparent now, more than ever, that these businesses need to invest significant amount of dollars into their marketing efforts in a bid to stand out in a crowd, get potential customers to visit their website and finally convert that into a purchase, and inspire a lifetime of loyalty. Movie Success Prediction.
Personalized marketing: Did you buy it or did they make you buy it? Last week, while browsing through a few sites online, my eye caught the fancy of a particular branded watch.
Of course, we all know the world wide web is full of choices, and in a bid to get the best bang for my buck, I searched a couple of retail sites, and after analyzing price and design, lost interest and left the site. Fast-forward a few days later, when watching a video online, an ad, displaying the same watch I had browsed for a couple of days back, seemed to appear on my page. The same pattern followed when I logged into my social media accounts, with notifications claiming a few friends had liked it. How did this happen? 5 Trends in customer journey analytics. Analytics Processes.
In this first post of a brief blog series, we’ll take a broad view at how organizations, such as your own, can assess analytics maturity and what they can do to move up the maturity curve faster (and ultimately, apply analytics to do everything from drive operational efficiencies, expedite product innovation and enhance consumer experience, to boost financial performance). Lots of organizations use analytics in some form today across their operations, but there are still too many who are lagging behind. Others, those who exhibit analytical aspirations, are interested in adopting analytics to drive business strategy, but haven’t taken proper action.
There are still more who have built a platform for execution, but are either hitting wall on next steps, or simply need to evolve. Unstructured Data Analytics. Businesses are well aware that analytics is changing everything – and that the difference between simply surviving or thriving, hinges on how they interpret and utilize data.
Time-series forecasting. Analytics Powered Marketing To Drive Customer Centric Retailing.