Telecom

Assisting brands make informed decisions and build customer loyalty

Ensure Telecom Success by connecting data dots

We are at the heart of the digital personalized content era.

With personalization, based on insights from customer behaviour and buying pattern analysis, customers are engaged with the relevant content, driving enhanced conversions and recurring purchases.

With Data analytics, telecom brands can mine customer data and reveal insightful patterns,correlations, anomalies and insights to make informed decision making and explore new revenue opportunities.

2016

JANUAR 2016

New office in London

JULY 2016

Certificate of Accreditation

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2018

JANUAR 2016

New office in Amsterdam

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2019

FEBRUARY 2019

New office in NY

MARCH 2020

More than 100 workers

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Ensure Telecom Success by connecting data dots
Predictive Analysis can help telecom industries reduce their planned capital expenditures by 15 percent.
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Be at the forefront of the innovation

Your goals are individual. We believe business advice should be too, so we help your business thrive in this work environment.
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Thought Leadership

Stay updated with technology, trends and stories that are transforming businesses.
4 Ways AI is transforming demand forecasting in retail
February 3, 2022
4 Ways AI is transforming demand forecasting in retail
In the past decade, demand forecasting has become a central focus for E-commerce and retail companies, allowing them to better anticipate changes in demand and restock products before they sell out. Demand forecasting has traditionally been handled manually by analysts who use data from existing sources.
Revenue Growth Management in CPG: Game Changing Factors
February 2, 2022
Revenue Growth Management in CPG: Game Changing Factors
Today CPG is challenged by the changing consumer habits, the complexities in the supply chain and the wide choice of products and brands to choose from. The game has further changed due to the impact of COVID-19 globally.
Data Annotation & Labeling – Why does it matter?
January 13, 2022
Data Annotation & Labeling – Why does it matter?
Your business will survive and thrive only if you are ready to accept the importance of technology and are ready to strategically adopt it. When Covid-19 struck, the disruption created an opportunity in which the right technology adoption saved the businesses while others who did not feel the need of it, drowned.
How AI Can Help CPG Companies to Improve the Rising Pressure on Order Delivery Performance?
January 13, 2022
How AI Can Help CPG Companies to Improve the Rising Pressure on Order Delivery Performance?
Since the demand for same and next day delivery increases, CPG companies are faced with rising pressure to keep products on the shelf. Consumers expect to be able to buy what they want, when they want and brands need to deliver that. To help retailers satisfy the growing demand for on-shelf availability, it is wise to utilize a wide range of AI solutions that improve the order management process.
Top Data Analytics Trends Transforming Financial Industry
January 10, 2022
Top Data Analytics Trends Transforming Financial Industry
The financial market is one of the most important markets worldwide, with many professional analysts and consultants keeping a close eye on FinTech startups and their products. Big data analytics has become one of the buzzwords in the banking sector and it needs to be applied with the latest technologies to keep pace with the rapidly changing customer needs in all spheres of business. In addition to safeguarding the financial information, big data solutions offer the finance industry to predict vulnerabilities, estimate credit risk and generate loyalty.
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