Align strategies for data and artificial intelligence with business priorities, regardless of data volume, variety, speed, uncertainty, and veracity. Use the power of big data analytics to increase sales, enhance profitability and boost customer satisfaction
53% greater data governance mechanism adoption coupled with server less tech stack adoption
Business Challenges
Data Volume, Variety, Velocity, Volatility and Veracity
For large corporations, data hoarding is a significant problem. In an ever-changing tech world, finding the right combination of technology and process to handle large data sets is a challenging challenge.
Actionable insights and predictions, at speed
It is crucial for organizations not only to calculate, but also to provide insights and suggestions, with the speed of business growing and digital playing a more important role. And in real-time, all this needs to happen.
Democratization of Data
In assembling data from different sources and ensuring that the data reaches
the correct audience, companies face challenges so that they can discover actionable insights. This flow from raw data to observations to informed choice is obstructed by data silos.
Capabilities
Agnostic Approach to Technology
Data and cloud technology stack capabilities allow ingestion via conversion and consumption, both Cloud and on-premise
Control of Holistic Data and Governance
Data activities and solutions through multiple phases of data (at rest, in motion, in process or consumption)
Alignment with concepts and access
Uses of Smart Data
Concentrating on the correct environment of data vs. an unnecessarily complicated architecture
Aligning and optimizing data priorities with business priorities
Best-in-class facilities for consulting
To develop and monetize a based data analytics strategy, plan, execute, track, report and leverage digital assets through marketing channels,
Increased ROI of 30% on digital and marketing spending
Data Orchestration and Harmonization
The volume and sophistication of data is a major obstacle, with digital consumer interactions becoming all-pervasive. The multiplicity of digital platforms and measurement methods makes it all the more difficult to have a single source of reality. And all of this data needs to be linked offline and online seamlessly.
Actionable insights and predictions at speed
Today's market speed and digital's key position make it important not only for organizations to calculate, but also to go beyond the numbers and provide perspectives and recommendations. In addition, this has to be achieved in almost real-time!
Showing ROI from investments in digital
Large amounts have been invested by companies in digital resources and innovations. But is the effort worth all this investment? Are businesses capable of correctly implementing and using these methods like AdobeTM and GoogleTM?
Capabilities
Optimization and Retargeting
A/B research to better understand the end consumer and to increase channel interaction and conversion.
Tailor-made Audience Building
Personas to define client desires and personalization with the aim of enhancing
Conversion.
Digital Data Organizing
Solid data modeling and data layer engineering engineering skills, with a particular emphasis on data hygiene.
Customized Tag Implementations
Traditional practice of implementation (client vs. server side) as well as the use of
EnsightenTM, TealiumTM, Google Tag ManagerTM, and Launch Adobe
Deployment Orchestration
Smooth support for implementation of analytics, agile tagging process, post-deployment upgrade management, and essential documentation.
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Business-led application of marketing technologies vs. plain device integration
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Intelligent, future-ready technology investments and best-of-breed and ongoing benchmarking of incorporation to promote business goals
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Enhanced ROI from the entire setup of analytics and marketing tech stack Increase by 10% by personalization and optimization using Adobe Aim
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Implementation to achieve a single customer view across many domains to chart customer journeys, resulting in increased conversion rates
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Optimized Tag Management to reduce page load time significantly
Social media Analytics
Business-led application of marketing technologies vs. plain device integration
Intelligent, future-ready technology investments and best-of-breed and ongoing benchmarking of incorporation to promote business goals
Enhanced ROI from the entire setup of analytics and marketing tech stack
Increase by 10% by personalization and optimization using Adobe Aim
Implementation to achieve Cu's Single View
Capabilities
Optimization and Retargeting
A/B testing to better understand the end customer and to enhance engagement and conversion across channels
Tailor-made Audience Building
Personas to define client desires and personalization with the aim of enhancing conversion
Organizing Digital Data
Solid data modeling and data layer engineering engineering skills, with a particular emphasis on data hygiene.
Customized Tag Implementations
Traditional practice of implementation (client vs. server side) as well as EnsightenTM, TealiumTM, Google Tag ManagerTM, and Adobe LaunchTM use
Deployment Orchestration
Smooth support for implementation of analytics, agile tagging process, post-deployment upgrade management, and essential documentation
Data Orchestration and Harmonization
The volume and sophistication of data is a major obstacle, with digital consumer interactions becoming all-pervasive. The multiplicity of digital platforms and measurement methods makes it all the more difficult to have a single source of reality. And all of this data needs to be linked offline and online seamlessly.
Actionable insights and predictions at speed
Today's market speed and digital's key position make it important not only for organizations to calculate, but also to go beyond the numbers and provide perspectives and recommendations. In addition, this has to be achieved in almost real-time!
Showing ROI from digital investments
Large amounts have been invested by companies in digital resources and innovations. But is the effort worth all this investment? Are businesses capable of correctly implementing and using these methods like AdobeTM and GoogleTM?
Search engines have become the means of gaining understanding and learning knowledge about the world around us.
The study of real-time search words and their frequency to understand customer desires provides product and marketing teams with highly useful insights.
With Search-based Analytics, detect emerging patterns and maximize paid search investments
Tapping the behavioral needs, behaviors, and expectations of consumers using search data
Search data is limited to the detection of trending terms and the optimization of search engines to boost search performance.
Correlating search activity experiences with company performance
Measuring the actions of customers using data from search traffic
Capacities
Our Features
Histories of Performance Comprehensive exploration of keywords to tap customer search behavior that is beneficial to your organization Usage of NLP to recognize themes of interest emerging Continuous mining of search knowledge to find patterns in real time Request forecasting model using temporal machine learning methods from ensemble Causal modeling to establish which themes or customers communicate with
Capabilities
Comprehensive keyword exploration to tap the behavior of customer search that is beneficial to your organization
Usage of NLP to define emerging interest themes
Continuous mining of search knowledge to find patterns in real-time
Request forecasting model using temporal machine learning methods from ensemble
Company KPIs will be influenced by causal modeling to classify what themes or customer desires
Optimizing investments in paid quest by aligning campaigns with client interests
Business Impact
Improve the precision of forecasts and estimate up to 90 percent accuracy of regional revenue metrics.
Optimize digital spending and increase the contribution to paid search by ~10% .