Tiger Analytics, a leading provider of AI & advanced analytics consulting services has come on board as a Microsoft partner. As part of this relationship, Tiger will leverage Microsoft's products and services to build AI & advanced analytics solutions for businesses in the APAC region.
As businesses globally are aiming to deliver a differentiated customer experience, they are realizing that data is the fuel that will enable it. Considering this, an ecosystem needs to be built around relevant technologies, platforms, and analytic solutions that harness the data effectively. This will enable the creation of new business models and services, competitive product differentiation, and more effective and efficient processes leading to significant business impact.
While you're here, how about this:
Analytics expert says Dalvin Cook among most deserving of a new deal
But what about the analytics that point to why the Vikings actually should give Cook an extension? They do exist, however, they’re conveniently ignored so that the narrative about not paying running backs can continue on.
NFL Network’s Cynthia Frelund recently released her list of the 10 players around the league who most-deserve new deals from their teams.
To come up with her rankings, Frelund used data from her win-share model and, “forward-looking projections to estimate future win impact.” She also included how much a new contract should be a priority for each player’s team based on a scale from one to 10 with 10 being the most urgent.
Fraud Analytics Market 2020-2026 | Comprehensive Study COVID19 Impact Analysis | Worldwide Key
The report “Fraud Analytics Market Research Report 2015-2026” provides an in-depth analysis of the global Fraud Analytics market across top key companies, products, and Applications. The research report provides an inclusive analysis of major industry drivers, restraints, and their impact on market growth during the forecast period.
The Fraud Analytics Market Report covers the manufacturer’s data, pricing, revenue, gross profit, business distribution, demand, market size & growth forecast, etc. This information helps the consumer know about the competitors better. This Fraud Analytics Market report also covers all the regions and countries of the world, which shows a regional development status, including market size & share, sales data, volume and value, as well as price data
Rapid Deployment of Public Wi-Fi Networks To Drive Wi-Fi Analytics Market at 24.2% CAGR between
NEW YORK, June 29, 2020 (GLOBE NEWSWIRE) -- With an increasing number of people using laptops, tablets, and smartphones, the concept of public Wi-Fi hotspots is becoming rapidly popular. This is why, between 2018 and 2023, a four-times rise is expected in the number of public Wi-Fi hotspots around the world.
This factor would be primarily responsible for fueling the growth of the global Wi-Fi analytics market , which will be valued $52,975.5 million by 2030, at a 24.2% CAGR between 2020 and 2030. This is because, by tracking the number of people using such hotspots and for how long, along with their usage trends, service providers would be able to scale up or down the coverage or bandwidth of the network, thus enhancing the user experience.
Quite a lot has been going on:
High Performance Data Analytics Market Size, Share, Statistics, Demand and Revenue, Forecast
The research report on High Performance Data Analytics market, covering the COVID-19 impact, provides a comparative analysis of the historical data with the current market scenario to unveil the growth projections for the industry over the analysis period. As per the study, the market is expected to garner substantial returns and showcase a healthy growth rate throughout the forecast duration.
The market analysis boasts of a competitive market intelligence with respect to the major industry trends, sales volume, market size, growth prospects, and revenue estimates. Moreover, information pertaining to the various industry segmentations covers a large portion of the research. The study further extends through an impartial assessment of the key players in the industry.
Effective Networking Tips For Analytics Professionals In The Age Of COVID-19
With this, we can establish that networking is still playing a critical role among analytics professionals. However, the operation has changed, where the entire process has moved online. In this article, we will share a few effective tips that can help analytics professionals to continue networking in the age of COVID.
Data Analytics: Everything Students Should Know About
Data Analytics is a highly-demanding field among business leaders right now as companies across diverse industries seek to better understand their customers and deliver improved services. As businesses collect a vast amount of data every day about their customers and supply chains, discovering and deriving the full value of that data is a major challenge.
The applications of Big Data and analytics are eternal providing a wide range of benefits to businesses. For instance, they help a company from the beginning to driving expansive growth and igniting them into a large, formidable business. Simply, big data analytics assists organizations to harness their data and utilize it to explore new opportunities, leading them towards a smarter business moves, more efficient operations, higher profits and better-off customers.
Analytics Audit 101: Identify issues and correct them to ensure the integrity of your data
One thing online businesses need to use as a cornerstone of their business decision making process is their digital analytics data (analytics data from a variety of sources: i.e. web analytics, search console, paid search, paid social, social media, etc.). Yet, according to a MIT Sloan Management Review only 15% of more than 2,400 business people surveyed trust their data.
As marketing and analytics professionals, we need to work together to not only increase the accuracy of our data, but to educate people about the data and how to leverage it. The first step in this process is auditing your analytics configurations and thereby identifying issues, and correcting them to ensure the integrity of the data.
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