The SiriusDecisions B-to-B Marketing Automation Study Infographic

July 8, 2019

Does the organization have a valid and agreed-upon process of what its revenue engine looks like?  Is the marketing function speaking the same language as the sales team? Or are they focusing only on the lead when sales is more interested in pre-qualified, early-stage opportunities? How can sales teams view the entire revenue engine and add insight to opportunities at all stages of development?

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Data In Science Technologies

Data in Science Technologies (DST) makes sense of the world’s data for analytics and modeling in government, healthcare and research organizations. We provide services and design solutions that empower informed decision-making, delivering a positive impact to your mission’s success. Through our custom solutions, we help solve common data management struggles in High Performance Computing (HPC) and Big Data. With chain-of custody and search across multiple data sources, our solutions lead to better analytics, efficiency and protection against data loss or misplacement.

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Global Data Transfer Mechanisms Infographic

Infographic | August 17, 2021

The way in which organizations can transfer personal data changed significantly following the CJEU’s judgement in the Schrems II case in 2020. This infographic highlights a number of global data transfer mechanisms that organizations can use to transfer personal data including EU adequacy decisions, Binding Corporate Rules, and Standard Contractual Clauses.

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Data analytics infographic vector image

Infographic | March 12, 2020

Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusion and supporting decision-making.

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How to use your transactional data: benefits of data-driven spend analytics

Infographic | June 23, 2022

Get more value from your transactional data. Discover the benefits of data-driven spend analytics and start improving your procurement strategies today.

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The road to AI based profitability boost – Infographic

Infographic | February 7, 2020

There is no question that a digital transformation is underway, as e-commerce is quickly taking a lead role in the B2B world. Machine Learning-based technologies, such as Artificial Intelligence (AI), are also increasing in popularity, with businesses looking for the best option to stay ahead of the competition. And, the digital economy does not appear to be slowing down anytime soon.

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Difference Between Data Science and Data Analytics

Infographic | March 12, 2020

Dealing with unstructured and structured data, Data Science is a field that comprises everything that related to data cleansing, preparation, and analysis.Data Science is the combination of statistics, mathematics, programming, problem-solving, capturing data in ingenious ways, the ability to look at things differently, and the activity of cleansing, preparing, and aligning the data.In simple terms, it is the umbrella of techniques used when trying to extract insights and information from data.

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Data Science vs Computer Science vs Data Analytics

Infographic | May 14, 2021

With the rapid development of the technology sector, it can be quite a challenge to keep up with all the niches and stay current on their advancements. Of the many fields that are responsible for the increasing buzz in the sector, Data Science, Computer Science, and Data Analytics are three critical domains that spearhead the revolution in technology.

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Spotlight

Data In Science Technologies

Data in Science Technologies (DST) makes sense of the world’s data for analytics and modeling in government, healthcare and research organizations. We provide services and design solutions that empower informed decision-making, delivering a positive impact to your mission’s success. Through our custom solutions, we help solve common data management struggles in High Performance Computing (HPC) and Big Data. With chain-of custody and search across multiple data sources, our solutions lead to better analytics, efficiency and protection against data loss or misplacement.

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