Accelerated Data Blending and Analytics for Microsoft Power BI with Alteryx

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Any good visual analysis starts with utilizing the right data, and getting that data in the right format is critical to the success of the analysis. Most analysts, however, spend too much time preparing data or relying on others to do it for them—and not enough time on visualizing the data to discover critical business insights.

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mroads

Our mission is to empower organizations to build next generation workforces leveraging technology and data. We believe innovation leads to generating solutions that make the day-to-day life easy for humans and organizations. Our portfolio of solutions includes staff augmentation, consulting services as well as our revolutionary HR solution, Paññã- the world's first artificially intelligent, cloud based, video interview platform.

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What impact are data analytics having on security

Article | February 26, 2020

Data analytics are bringing big data to security and changing the way we look at security solutions. In video surveillance, analytics have opened a wide host of applications that customers can use to gather valuable business insights from video data. This not only increases the complexity of the customer solution but brings together stakeholders from departments previously remote in the security design decision. In 2020, a customer-centric design process will be crucial to understand a customer’s business beyond the security or IT department. Keep an open mind while exploring the potential of each new technology and tailor your security design solutions into a catalyst for your customer’s success. Always remember that with big data comes big responsibility.

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How data analytics and IoT are driving insurtech growth

Article | February 26, 2020

Technology is driving change in every industry and region around the world and insurance is no different. The financial services sector is a good example of how digitally disruptive technologies such as artificial intelligence, Big Data and mobile-first banking experiences have paved the way for innovative fintechs.The insurance industry is no different. According to a report by Accenture titled The Rise of Insurtech: How Young Startups and a Mature Industry Can Bring Out the Best in One Another, for example, there is a growing recognition that the insurance industry will ultimately see the greatest benefit and the highest levels of disruption - from this global upsurge in innovation”.

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How big data is empowering better business intelligence

Article | February 26, 2020

Business intelligence (BI) is nothing new to enterprises that have been relying on data processing and analysis to deliver insightful reports that reflect business performance.These tools are a great match for enterprises that value the data their operations generate. BI software and programs work together to turn data into actionable insights that can drive better business decisions and market strategies and, ultimately, drive revenue as a result.Combined with the masses of external data amassing every second whether that’s customers’ feedback and experience, competitor intelligence, seasonal buying habits, or otherwise businesses can have a huge amount of data at their disposal.While BI systems draw specific data from pre-defined sources to turn them into insights, big data technologies capture data from a variety of sources in real-time, regardless of their formats or structure.

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A Tale of Two Data-Centric Services

Article | February 26, 2020

The acronym DMaaS can refer to two related but separate things: data center management-as-a-service referred to here by its other acronym, DCMaaS and data management-as-a-service. The former looks at infrastructure-level questions such as optimization of data flows in a cloud service, the latter refers to master data management and data preparation as applied to federated cloud services.DCMaaS has been under development for some years; DMaaS is slightly younger and is a product of the growing interest in machine learning and big data analytics, along with increasing concern over privacy, security, and compliance in a cloud environment.DMaaS responds to a developing concern over data quality in machine learning due to the large amount of data that must be used for training and the inherent dangers posed by divergence in data structure from multiple sources. To use the rapidly growing array of cloud data, including public cloud information and corporate internal information from hybrid clouds, you must aggregate data in a normalized way so it can be available for model training and processing with ML algorithms. As data volumes and data diversity increase, this becomes increasingly difficult.

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Spotlight

mroads

Our mission is to empower organizations to build next generation workforces leveraging technology and data. We believe innovation leads to generating solutions that make the day-to-day life easy for humans and organizations. Our portfolio of solutions includes staff augmentation, consulting services as well as our revolutionary HR solution, Paññã- the world's first artificially intelligent, cloud based, video interview platform.

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