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Mastech InfoTrellis partners with enterprises to achieve their business objectives by leveraging the power of their data to derive deep, analytical insights about their business and operations. We accelerate business velocity, minimize costs, and drastically improve corporate resiliency through personalized, process-oriented programs, consisting of strategy, data management (including master data management), business intelligence and reporting, data engineering, predictive analytics, and advanced analytics. We consult with global corporations to help them optimize strategy and operations by exploiting data and technology and leveraging cloud or hybrid-cloud technology infrastructure.

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Demystifying Customer Journey Analytics

Our CX experts explore how a tight collaboration between product and marketing teams can promote a positive customer experience.

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Empower your marketing team to seamlessly engage with your customers, equipped with actionable insights from their data. Personalize your customer interactions for a superior customer experience and better conversions. Talk to our CX experts today.

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The hidden cost of poor-quality data could be as much as 20% of an average company's revenue. The author makes a business case for investing in high-quality, reliable data to drive innovation.

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Informatica Master Data Management (MDM) involves creating a single master record for each person, place, or thing in a business from internal and external data sources and applications. This information is de-duplicated, reconciled, and enriched to form a consistent and reliable source. Once created, this master data serves as a trusted view of business-critical data that can be managed and shared across the business to promote accurate reporting, reduce data errors, remove redundancy, and help organizations/workers make better-informed business decisions.

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Enterprise Intelligence Hub: A new impetus in your Data Strategy

To learn at speed, you need machine learning. And machine learning works best when you have a centralized place where your data is stored, such as a data lake, and it can access data organized in a form that it can learn from, e.g., ontologies or a knowledge graph. Machine learning generates a whole new game-changing intelligence layer in digital format that you can execute in real-time, i.e., artificial intelligence (AI). AI is the technology that will drive the next level of business automation in your company that delivers massive productivity. The author explains how big and small enterprises can learn quickly and inject AI into business processes with Enterprise Intelligent Hub.

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The goal of data science is to translate all business problems into scientific problems which can be managed and/or improved in a systematic data-driven way. It is the job of a data scientist to ensure that business problems benefit from the application of a more scientific and data-driven approach. The author explains how translating a business problem into a scientific one inadvertently clarifies/reveals the true problem and can provide immediate insight in terms of revising how you think about solving the problem.

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Mapping out the customer journey is the first essential step a business must take to improve its overall customer experience. CX experts at Mastech InfoTrellis explain the right approach to Customer Journey Mapping and some common pitfalls to avoid.

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Transform your customer interactions with in-depth analytics. Quickly implement Customer Experience solutions in any industry with vertical-focused CX Accelerators.

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MIT is a specialist data management and data analytics firm which helps clients to minimize cost, accelerate business velocity, and drastically improve corporate resiliency

To know more visit: https://mastechinfotrellis.com/

[michael2007]

As there is huge amount of data sitting on people’s system that go unused because they are embedded in cumbersome format and that are routinely generated in every business operation. The Data Ingestion solutions helps to tackle these critical issues that has prevented many organizations from operationalizing all their data

To know more visit: https://mastechinfotrellis.com/intelligence/

[michael2007]

Today all the enterprises compete on the basis of their ability to strengthen their data assets by adopting Data Science and Machine learning applications, to make better decisions ahead of their competitors.

To know more click here https://mastechinfotrellis.com/data-science/

[michael2007]

It becomes very important to implement a roadmap and vision for the better Customer Experience Transformation across all the functions of enterprise, with a clear cost-benefit analysis for the right application of technologies.

To know more visit https://mastechinfotrellis.com/customer-experience/

[michael2007]

In today’s modern world, there is a greater awareness for MDM than ever before. When organizations experience MDM journey, there are various factors they need to consider like improved security, reduction in the bandwidth cost, and so on. 

To know more, visit https://mastechinfotrellis.com/data-management/

[michael2007]

Around the world today, all enterprises are moving their applications to the Cloud as it provides agility, speed-to-market-to-market benefits, as well as cost-efficiency. 

Visit https://mastechinfotrellis.com/cloud-services/adoption-services/

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As enterprises are implementing complex business solutions across multiple private and public cloud technologies which provides the desired operational environments to drive business outcomes

For more information, visit https://mastechinfotrellis.com/data-engineering/data-engineering-coe/