Corporate360 is a cloud software company, offering B2B sales & marketing data and analytics software. Corporate360's mission is to Provide Actionable Sales & Marketing Intelligence to Technology Companies.
Data Driven marketers outperform their competitors in revenue growth via insight driven marketing
To assess marketing maturity and demonstrate the business impact of modern marketing best practices, Corporate360 conducted a global study of marketing Executives. “Why You Need To Be A Data Driven Marketer,” shows a strong correlation between modern marketing best practices and business success.
The study surveyed hundreds of marketing decision-makers across a range of industries in the United States, United Kingdom, Germany, France & Singapore, and found that organizations that embrace modern marketing processes outperform their non-modern marketing peers and competitors. Organizations that embrace data driven marketing processes outperform competitors in new pipeline creation, customer wins, revenue growth and increase in market share.
Data Driven Marketing
Despite a clear and measurable impact on revenue, many businesses have yet to adopt modern marketing best practices such as data driven campaigns. To deliver on the full promise of customer eccentricity and achieve the business benefits of modern marketing many marketers still need to rethink:
Customer conversion and acquisition: Extend marketing efforts on conventional conversion and customer acquisition processes with lead scoring, nurturing, behavioural triggers and lead recycling.
Customer communications: Identify right contact at the right time during the buyer’s journey, engage appropriately with the most relevant messaging
Sales-channel integration: Design integrated marketing campaign efforts across business channels such as sales, marketing, inside sales, digital marketing, channel partner, reseller, marketing agency teams
Modern marketers have made significant progress enhancing customer centricity through investments in sales and marketing campaign data technology. Key benefits achieved include:
Real-time customer insights: Combine real-time customer data with predictive models and statistical techniques to help engage customers in a digital dialogue and improve marketing effectiveness.
Precise targeting: Advance beyond basic demographic and firmographic information to segment based on personal criteria and interests; targeted towards specific segments, personas or client needs.
Improved data quality: Implement formal, consistent data gathering techniques; employ intelligent tracking based on real-time updates and behaviour tracking.
“To meet ever increasing demands, marketers need to be able to quickly and easily discover prospect needs and execute marketing programs that have a measurable impact on revenue,” said Ashish M, Director of Products, Corporate360.“
We have entered the era where nothing can be achieved without knowing a customer inside-out. Today, from Fortune 500 to a startup, everyone needs an exhaustive list of demographic, geographic, psychographic and similar data, which can be employed to identify their potential customers and their purchase behaviour.
In the B2B world where potential clients are spanning across the globe, Marketers rely on accurate and up-to-date information for their inbound marketing and CRM initiatives. Though accumulating data is no rocket science nowadays (thanks to the evolution of internet and advancements like data mining in the last decade), finding quality and relevant data is a challenging task in itself.
Data from sources like Data Brokers and Resellers hold the high possibility of being inefficient and inaccurate. They can not only be obsolete and expensive, but can also result in various mishaps. For instance, if a marketer is using distorted data, he/she will not be able to get precise information on customer intelligence. Consequently, he/she could make the blunder of defining the target audience incorrectly, which would further result in communication of brand message to the wrong group of people, and failure for the Sales team to convert them into qualified leads. In conclusion, the entire marketing campaign hinges on the precision of data and its real-time refreshment.
However, if the data is taken from reliable sources like reputed Data as a Service (DaaS) Cloud platforms, the marketer would be in a much better position to make right decisions. Since these platforms use advanced technology to consistently collect and crunch data as well as ensure data usage compliance, a marketer can gain in-depth understanding of the nature, experience and behaviour of potential customers. He/She can now draft suitable inbound and outbound marketing campaigns to grab their attention, keep them engaged with personalized content, explain them how the product and/or service would be beneficial for them, and assist the sales team in closing the deal.
2014 has been an exciting year for us at Corporate360— a year I wish had lasted longer. We are at a turning point in how data can empower people and organizations to scale greater heights. As we step into 2015, we are committed to providing B2B marketers with transformative campaign data tools and platforms so they can achieve their revenue goals.
Growth momentum: With expanded global leadership at the helm, Corporate360 is marching ahead in their transformational journey. B2B marketing data industry is on the path to becoming a digitally empowered knowledge economy and the global landscape is evolving at a rapid pace. The optimism is substantial with the industry eco system’s promising intent to promote economic growth through technology and digital avenues, as well as a significant shift in the mindset of users. This demands data science innovation at every step, and this is exactly what continues to anchor us.
Our performance: We have ended the year as one of the fast growing company in the B2B marketing data industry, driven by strong positive growth across our commercial and enterprise segments. Corporate360 has delivered multi million dollars in global revenue for the year ended September 30, 2014, with 67% growth in our data subscription business, and 52% growth in our global enterprise business. Our employee size has grown 50%, which is expected to double in 2015 with new additions in data science and sales teams.
Sales Productivity: At Corporate360, we have a renewed focus on empowering people and organizations to excel in this data-cloud-mobile world by reinventing sales and marketing productivity and providing exciting new data platforms to leverage for campaigns. Our commitment to improve sales revenue performance and marketing productivity is centered on providing the right data tools and sales intelligence platforms to help B2B marketers to make the most out of any campaigns.
Data-as-a-Service Cloud for Marketers: B2B sales executives and marketers are at the core of what we do. Our commitment to enabling companies and marketers to design data driven campaigns, identify sales leads, win deals and grow market share, has led us to embrace data innovation. Our ProspectRdata-as-a-service platform has more data, more insights, more relevancy and highest accuracy than any other marketing data cloud platform in the world. Our strategic operating model through a direct global data science team in 5 countries across North America, Europe and Asia, are making marketing data available at global scale to everyone and on every device at low cost with ongoing data accuracy maintenance.
We are transforming B2B marketing data industry by enabling the adoption of data-as-a-service cloud globally, and we are adding an average of 5,000 users every year. By eliminating repeated, flat fee based list purchase investments and through cost savings on data subscription flexibility to scale and maintain accuracy, we see data-as-a-service cloud propelling the growth of enterprises, start-ups and SMBs. Today, we have the most comprehensive marketing data cloud available for businesses — to help address the marketing requirements of a diverse range of industry verticals and business segments such as Sales, Marketing, CRM, Analytics & Channels.
In 2015, we will extend our marketing data cloud services through mobile apps and new product launches for a number of diverse sectors such as Telecom, Hospitality, Life Sciences & Public Sector. We took one of the greatest productivity tools of all time, Social data, and made it even more useful and widely available, extending to CRM and Marketing Automation tools. This is helping sales and marketing executives — across devices, to discover buyer’s persona and prospect insights from anywhere with real-time updates.
Along the same theme, we announced PeeP, a social media widget for all our subscribers. PeeP is a social media visualization application that aggregates relevant insights from social media data of your target prospects in a singular application. This is very relevant in an era where buyers and users are fast moving to the adoption of smartphones and more expressive on social media about product feedbacks.
Last November, we launched EmailR, which is an email discovery platform. This is an Email-as-a-service offering on the cloud, which allows sales and marketers to discover permission based, data privacy compliant email id’s of prospect contacts.
Endless possibilities: With increased focus on growing SMBs, promoting entrepreneurship, Data science and ‘Digital World’ promise endless possibilities. We are committed to modern marketing data science and inspired by the evolving BigData technologies. As the industry comes together to help realize this vision with new technologies, we firmly believe that one such technology is Data-as-a-Service cloud. This technology can offer cost-friendly, accessible and insight driven data to marketers, delivering the much-needed ongoing data accuracy maintenance support.
At Corporate360, we will continue to partner with several central and state government departments, as well as NGOs to address challenges faced by educated youth. We continue to work with the youths through our SmartWorker programs, which have already helped 1200 people. We launched our ‘Women Empowerment’ initiative to help attract, retain and grow women in IT industry.
We are at a turning point in how data science can accelerate the sales and marketing goals of businesses around the world. Our passion to provide you with data tools and platforms that helps you grow your business, make an impact, as well as make a difference in the communities we serve, will continue to anchor us this year.
IT budget set to rise to enable companies upgrade to latest versions, deploy newer products and embrace cloud.
A recent IT market study indicates that by 2017, a significant 150 Billion worth of IT Infrastructure worldwide will be up for support renewal, tech refresh and migration to newer versions, products and to the cloud. This includes 35 million server installations, 8 million storage system installations, 14 million networking systems and 3 million software instances such as Database, CRM, ERP, BI, OS etc. Our research proves that 90% of these legacy system installations are from 400,000 companies in 30 countries. Our IT executive campaign survey also indicates that 76% of those companies are vulnerable to switch to competitor products.
Corporate360 is a technology sales insight research company. We conducted a global campaign, commissioned by a top analyst firm to find out top interests of enterprise IT executives. We reached out to 3 million IT management executives of 400,000 global IT rich companies from 30 countries across NA, EMEA and APJ.
Software defined infrastructure, Cloud, Flash, Analytics and In-memory technologies tops the main interests for IT executives. 86% of the respondents indicated interest to do POC on the above 4 areas as part of their upcoming IT refresh projects. Our survey results indicates 220,000 companies are scheduled to refresh and upgrade their older versions of hardware & software – mainly Server, Storage, Network, ERP, BI, DB, OS systems – by 2017.
Data resellers are making it big by selling large chunks of crowd sourced marketing data. Enterprise stalwarts and nimble upstarts who deliver quality sales intelligence data solutions extract large volumes of data through modern data mining methods. These data vendors leverage BigData technologies and human API’s to collect, categorize, maintain and offer the most accurate data on companies, products and users. But, their data re-seller counterparts easily mint money by purchasing these databanks from data brokers and list vendors, and selling them repeatedly for humongous fees. Reselling is certainly a fair business, but, the disreputable part of it is the selling of invalid information and no data maintenance support.
Data platform vendors promise on-time maintenance and support services, apart from utmost accuracy of the data provided. But data resellers lure customers with stale data, and mostly opt for one-time sales. This is a deceitful strategy to con the customers, by forcing them to believe that the data served is precise and accurate. Simply put, several unethical data resellers sell obsolete data for flat fees. Sadly, most of the companies overlook this stealthy practice, and injudiciously purchase market campaign data with gross irrelevancy and poor data accuracy. Data resellers have successfully manipulated marketing industry by partnering with data brokers and list vendors, source stale lists and sell them for a flat fee. A marketer would buy the list from them, only to realize that 70% of the data is outdated, irrelevant and inaccurate by the time of campaign execution.
With unmatched technological innovations and impeccable processing speed, data-as-a-service vendors aid marketers in their quest to generate quality leads that help increase sales & ROI. Renowned sales data vendors including C360 are keen on maintaining drone-like precision to provide authentic data for reasonable prices. This legitimate practice will help companies improve their marketing efforts, along with gaining unmatched reliability, manageability and performance. But the sham of data resellers and data brokers are growing data to day, thus becoming impracticable to curtail. Through this post we aim to put-forth our sincere appeal to every B2B marketing executive out there – Stay away from treasonable and money-minded data resellers and data brokers who sell worthless and obsolete data for huge prices.
Backed by cutting edge disruptive BigData technologies, ProspectR can help businesses address a wide variety of marketing data opportunities. This sales intelligence software is an innovate platform to extract true business value from real-time digital data. ProspectR can generate, predict, and explore all kinds of market campaign data for targeted outbound marketing. Real-time data accuracy and on-time updations help ProspectR stand out from the competition. Precisely put, at C360, we offer an advanced and unified data platform that seamlessly complies with a wide range of marketing automation and CRM tools.
BigData and predictive analysis hold the keys to stay ahead of competition. Top BigData vendors and solution providers are savvy communities of ethical data sellers. They help businesses make smarter decisions by capitalizing on the power of BigData. This is crucial to enhance customer engagements, optimize daily operations, boost sales, and reduce marketing risks. Hence, if businesses can directly avail authentic, prospect insights for reasonable prices; why approach an unethical data reseller only to get duped?
Reach out to right prospects at right time with right messaging
Generate high quality sales leads for new deployment, upgrade, refresh, up-sell & cross-sell opportunities
Secure more inbound leads before competition does
Win-back market share from competition
Accelerated pipeline creation of sales ready leads from new prospects and present customers
Global expansion to total addressable market
Improved sales productivity and Increased revenue
Higher return on marketing campaign investments
Accurate CRM data
Our Data-as-a-Service software suite is built with best-in-class Big Data Analytics Algorithms. The All-in-One marketing data platform empowers sales and marketing teams to market better, identify new revenue opportunities, win new customers and sell faster.
As market leader in marketing data software, Corporate360 helps companies of all sizes and industries market better. Corporate360 empowers Marketing, Sales, CRM and Analytics organizations to work together more competently and use data driven business insights to stay ahead of the competition. Corporate360 marketing data applications and data services assists more than 5000 global sales professionals to hit their quotas and adopt modern marketing methods. For more information, visit www.corporate360.us
Identify best-fit prospect contacts and deploy insight driven outbound campaigns
The CRM Data Quality Problem
B2B marketing data studies indicate that prospects data changes often. There is a high chance that Your CRM’s contact data is at least 30-50% incorrect or north of 50% in most cases.
Your CRM data is out of sync with your Marketing Automation software because of duplicates, in-complete & in-accurate records. Your sales teams constantly complain that they don’t have accurate contacts data, that they get too many bounce-backs and are not reaching the right targets.
So you actively work to solve this by buying flat fee based lists at over 50-cents a record, and, still, you find a large chunk of this data is not accurate. The more you try to fix the accuracy of the data, the more you realize that contacts are moving jobs, getting promoted, changing phone numbers. You can’t keep up.
Meanwhile your sales force is out getting business cards and emails from prospects and closing deals with clients, and yet, up to 90% of that data isn’t making into your CRM. No matter how much your organization encourages its sales teams to keep contact data current, less progress is made. You are still being overcharged by your marketing automation software and list vendors because you are paying by the contact record, even though you know that thousands of these records are in-accurate, in-complete and ir-relevant.
How We Can Help You
We are committed to solve the Contacts Data Accuracy Problem. We have introduced a cloud based Data-as-a-Service software named ProspectR.
Powered by BigData & Data Science such as Predictive Analytics, Patterns, Machine Learning and Human Intelligence, we discover best-fit audience data for targeted campaigns. We then apply predictive analytics algorithms to the prospect profiles to identify sales trigger patterns that are useful for marketers. By processing billions of data points every day, ProspectR is able to determine the most accurate, up-to-date information for each contact, creating the most accurate, recent, complete and comprehensive contact record.
We provide two modules in ProspectR Data Suite that solve the main elements of contact data accuracy problem.
ProspectR has millions of enterprise level business decision maker contacts with First & Last name, Title, Phone number, Email ID & Social profiles. Every day, we monitor and analyze these records to identify patterns and discover changes. Patterns provide many sales insights to identify most likely buyers and sales recommendations with lead score. All contact records are associated to a business profile, provided in company’s organizational chart diagram, illustrating relations between executives within an organization. This org chart is valuable in that it enables sales teams to visualize a complete hierarchical organization structure for efficient sales planning. With ProspectR, you will get insight to your contact data that helps your marketers and sales teams target more efficiently.
ProspectR keeps contact databases up-to-date. No matter where your contacts go or what changes they make to their companies, addresses, phone numbers, titles, or email, ProspectR finds their updated information real-time. By easily integrating with your CRM database or Marketing Automation Software, you get a single, definitive instance of contact records you can trust. ProspectR helps you discover and retrieve all your target contacts, update in your CRM and maintain contact records accurately. Modern marketing data science & human judgment is applied to give you qualified sales leads with accurate prospects data. ProspectR performs a thorough audit of marketing database by updating contacts, correcting spellings, remove outdated information and add new records with more data and more insights to help you discover new customer relationships.
With ProspectR, your prospect contact records are always up-to-date, saving you thousands of dollars from stale list-purchase fees.
Predictive Analytics can be defined as a discipline of leveraging large volume of data (BigData) that enables business executives to understand how different variables of the business interact and are linked with each other. Variables can be of any kind and within any data source, structured as well as unstructured. Such patterns can indicate opportunities for innovation, new sales leads or threats of customer retention and therefore require action.
Finding patterns from large volume of data and examining it is difficult. Machine learning can contribute in helping to find relevant patterns that are difficult for us to identify. This enables organizations and business executives to rely more on data and make insight driven and informed decisions.
Pattern Analytics can be determined through predefined models. Alternatively, the algorithms will do the work for you and find relevant insights from a combination of large sets of data. The main objective of pattern analytics is to automate actionable intelligence that is hidden in the data and these insights will help you grow your business. There are multiple use-cases of pattern discovery, but we would like to focus on an important one: optimizing your sales growth with pattern discovery.
Driving Your Sales With Pattern Discovery
When you have sufficient data sources and appropriate algorithms, it is possible to automatically discover patters that affect your sales. Pattern analytics on customer and sales data can therefore indicate market trends, customer interests and reveal future sales trends. In addition, pattern analytics can show the top selling items based on geography and interest and news happening around the world. This information can be used by decision-makers to better price products and as a result drive more sales.
Pattern analytics and discovery offers actionable intelligence and valuable insights for your business, for an action to be taken to help grow your business.
Sales Recommendation Engine
Recommender systems are one of the most common applications of BigData to persuade customers to buy additional products. Let’s have a look what recommender systems are and how you can apply them in your organization.
Recommender systems can be based on two different types of algorithms, but they are often combined. The first is analyzing vast amounts of past choices / purchases of your customers and use these to suggest new products. This is called collaborative filtering; a system recommending other products based on what other users with the same profile also bought. For example, a user bought A, B, C and D and another user bought A, B, C, D and E. The system will then automatically recommend product E to the first user, as both users have the same buying profile and will likely be the same. The other approach is content-based filtering, where the system uses a detailed profile of what a user has previously bought, liked, searched for, tweeted about, blogged about, visited etc. Based on that information, a profile is created and products are recommended that best fit that profile based on the attributes of that product.
Recommendation engines can be used in B2B, to recommend potential prospects to sales people. Using public data sets such as credit bureaus, and third party data sources, company data information can be combined with a company’s own sales and customer database to find new relationships that a sales person might have missed. As such, recommendation systems are becoming common practice across industries to suggest sales strategies.
In fact, recommendation engines can be used anywhere users are looking for products / services or people. LinkedIn uses recommendations to recommend people, jobs or groups you might want to connect with. The “you may like this” functionality on the platform blends content based and collaborative filtering and uses algorithmic popularity and graph based approach for the recommendations. Building a virtual profile of each group and extracting the most representative features of those group members create “Groups you may like”. LinkedIn recommends jobs by combining different profile features, behaviour, location and attributes to similar people like you.
Recommendations have become a standard feature for B2B sales and marketing campaigns. For any company working with recommendations, the trick is to deliver relevant recommendations. This will improve the buyer experience and increase the conversion rate.
These are just one of the many examples and possibilities for recommendation engines. One thing is for sure; recommendation engines require vast amounts of data from as many different datasets to be useful. If you want to start with a predictive analytics and recommendation engine, it is therefore wise to first start to build the accurate database before activating the recommender system. Otherwise the recommendations will prove not to be correct in the beginning, requiring iterations while limiting the success of the recommendation engine. Hadoop is great tool to deal with the vast amounts of data in a robust, efficient and flexible manner, while combining the different data sources to improve the targeting of the recommendations.
With the ever-increasing amount of data, recommendation engines will only become better in the future. For organizations this will mean better targeting of products to the right person and thereby probably increasing the conversion rate and the user experience.
The present state of the market is highly competitive—especially in the B2B space. This is the reason why collecting and analyzing competitive intelligence has become vital for businesses, regardless of their size.
Competitive intelligence is the process of identifying, gathering and analyzing relevant information such as products and customers of the target market competitors. This enables businesses to create campaigns and take out competition by making strategic data-backed decisions.
The secret to effective campaigns – Competitive intelligence
Competitive intelligence refers to the ever-increasing volume, variety, variability and complexity of data—including the challenges, capabilities and competencies of the competition (Big Data). It is the process of extracting insightful data from large volumes available to create actionable campaigns.
This insightful data includes competitor customers’ online purchases, geo-location, browsing behaviour, mobile device usage, social media interactions etc, to help make data-driven strategic marketing decisions.
If you mix big data with the marketing strategy of your business, you will hit three key elements:
Customers have vivid tastes and preferences. Competitive intelligence can deliver insights on what the customers want, where they are, how they wish to be contacted and their sales triggers.
Your business can win-back market share from competitors by optimizing marketing programs through testing, measurement and analysis of competitor strategies.
What’s the solution? CI-Square
A SaaS-based Data-as-a-Service platform, Ci-Square offers competitive intelligence at strategic and execution levels to businesses. It captures the most relevant competitor data to support the competitive marketing strategies.
Apart from sending real-time alerts and updates about the competitors from internet sources, it also shares insights on competitors customers’ behaviour, including their contact information, social profiles and sales triggers.
Want to take create a competition take out marketing campaign that’s backed with quality data? Contact Corporate360 today!
Corporate360 is a SalesTech company, offering SaaS based marketing data cloud software for B2B marketers to help discover sales leads, ideal buyer contacts, technology installations & competitive intelligence.
BigData is trending as the next big thing in technology sector, and helps companies and brands make big strides, tremendous successes, and big money in their respective niche markets. Though it sounds like some kind of a technology beast, it is in fact a simple way of leveraging large volume of digital data through real time data collection and analysis.
Having comprehensive idea about customer sentiments is essential for businesses and brands to serve target customers, based on real time needs. However this in-depth insight can be availed only through significant technological aids that generate crucial data and serve it as actionable insights.
In today’s fast paced business environment with vast amount of proliferating data, growing customer demands, and competitive marketing challenges, companies and brands are in constant desperation to make right decisions at the right time. This uncompromising agility is indispensable to gain competitive advantage and get better sales. BigData is the key to obtain actionable insights that help businesses take informed decisions in a time-bound manner. Leveraging several external data elements will help companies respond to current business needs on real time basis. Predictive data modeling is also essential to design a clear-cut road map for future business growth.
Here are a few statistical highlights on the increasing relevance of BigData:
According to a 2012 report, about 9 billion devices were connected to the Internet. In 2020, this is expected to soar to 50 billion.
About 90% of the world’s digital data was created in the past 2years. By 2020, the volume of data will increase by 50X.
More than 87% of the world’s population use mobile devices. The volume of mobile data created is growing at a compound annual rate of 78%.
Big data for social innovation:
Digital data is not only used in technical and business sectors, but also help alleviate numerous social issues. It can dramatically improve the lives of several people around the world. Governments and non-profit organizations around the world are making notable progress by using BigData to improve the lives of people across the globe.
Impact Sourcing: jobs for disadvantaged communities:
An innovative attempt and a philanthropic cause to create potential job opportunities in rural areas, Impact Sourcing helps create internet-based job opportunities. The primary focus of the initiative is to take simple tech jobs beyond urban areas, thus penetrating deeper into the society, and empowering talented youth and women from rural areas and backward communities.
A global program that connects businesses and technology providers with talented resources from disadvantaged communities, Impact Sourcing helps businesses to assign digital data related jobs to competent workforce from various parts of the world.
Why Impact Sourcing?
For lack of adequate opportunities and appropriate support, most of the immensely talented people from rural areas often forced to narrow down their dreams to menial jobs, thus strangling their career dreams forever. With potential job opportunities that reward them with prospective careers and stable sources of income, Impact Sourcing aims to give wings to the dreams and aspirations several young men and women around the world.
Corporate360 is a BigData start-up from Kerala, HQ’d in Singapore, a member of Impact Sourcing. The company offers a B2B Marketing Data Cloud Software. Using data science combined with human intelligence, Corporate360 created an innovative new platform for global markets. Corporate360’s All-in-One marketing data platform, ProspectR, hit global markets in 2012. The marketing data industry named the product a game-changer. The Data-as-a-Service product exists in the cloud, allowing marketers to access all of their campaign intelligence data with real-time updates. They use the information to design targeted campaigns tailored to the right prospect at the right time. Global tech leaders such as HP, Dell and Oracle are Corporate360 clients.
Corporate360 is extensively involved in setting up offices that creates BigData related jobs that benefit several disadvantaged individuals in various rural areas. This mission has been kick started with the aim of empowering women and youth in rural areas, through promising job opportunities on digital data tasks.
How it’s done ?
Corporate360’s SmartWorker, a cloud based software allocates digital data tasks such as internet data research, data accuracy maintenance, predictive data modelling, data compliance verifications, data validations, data profiling etc to untapped talent pools in various rural areas. Unlike a regular outsourcing process, each talent pool is closely mentored, monitored, and managed by in-house experts, in order to maintain supreme data quality and unmatched customer satisfaction.
As a part of efforts to create potential tech jobs in rural areas, C360 opened its fully fledged office in Pathanapuram, a remote village in Kerala, India. With 30 full-time employees and 14 remote support experts, this Data Factory is growing by leaps and bounds each day. Apart from the Indian initiatives, the company employs more than 900 online data workers in Philippines, Nepal, Indonesia, Myanmar, Vietnam, and Kenya.
Through SmartWorker, C360 has so far paid over $107,00 as remuneration to more than 1200 workers from 7 countries.
With relentless efforts and potential employment opportunities, the company aims to reach out to more talents in rural areas across the country. As a part of boosting the program benefits, we also aim to create talent groups and train potential candidates to successfully carryout data related tasks to earn a potential income each month. Through this initiative the company aims to offer prospective job opportunities for 10,000 women and youth by 2020.
Corporate360 also introduced weekend internship for college students. In addition to BigData job exposure, this program offers training on entrepreneurship & cultural acquaintance to innovation in technology industry. The objective of this program is to promote awareness of entrepreneurship & employability enablement at grass root level and BigData skill development.
The brainchild of Varun Chandran, CEO & Founder of Corporate360, SmartWorker is the offshoot of his struggles to build a career from a rural village in Kerala, India. A boot-strapped start-up, C360 is now a global leader in B2B marketing data solutions, with 30 employees in 5 countries, and a global client base.