Big Data Analytics Over Time

May 23, 2018

We’re going to debunk a common idea today. Are you ready? Here we go: Analytics is not new. We did a trend analysis of how industry research has reported on big data analytics over the years. Plottwist: it has been around for awhile. More than a decade since people have started talking about the efficacy of big data analytics within the sales process, businesses are still dragging their feet about adopting the technology. According to Salesforce’s 2015 State of Sales publication, only 19% of sales leaders currently use predictive analytics. For more information on how to leverage big data analytics in your B2B sales environment,

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Contovista AG

Contovista is a digital banking software company. We specialised on big data analytics, business intelligence and visualisation over financial data. Our product portfolio includes a complete Personal Finance Management (PFM) solution, a Finance Management solution for SMBs as well as a Portfolio Analytics solution…

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Organizations collect huge volumes of data and use efficient methods, including digitization by data entry companies, to turn this data into usable information. Big data analytics refers to the use of advanced techniques to analyze data for constructive use. Emerging technologies such as artificial intelligence and machine learning are driving changes in big data analytics. Let’s take a deeper dive into what’s in store for big data analytics in the coming year.

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Importance of Data Encryption

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Reasons Why Encrypting Data is Crucial Encryption is the last line of defense Encryption Can Increase Consumer Trust Encryption Can Help to Protect Remote Workers

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Difference Between Data Science and Data Analytics

Infographic | March 12, 2020

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5 Biggest Enterprise Data Science Trends to Unlock Success in 2022

Infographic | June 1, 2022

Data science is a powerful source of innovation and business value.

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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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Monetizing Data The Concept of Value Engineering

Infographic | April 14, 2021

Data Analytics is the way forward for organizations looking to maintain a competitive advantage. The best way to boost the bottom line and secure a bright future is by monetizing data. Start your Data Analytics journey right away and boost the economic value driven by your data.

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Spotlight

Contovista AG

Contovista is a digital banking software company. We specialised on big data analytics, business intelligence and visualisation over financial data. Our product portfolio includes a complete Personal Finance Management (PFM) solution, a Finance Management solution for SMBs as well as a Portfolio Analytics solution…

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