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Data Science and Big Data: Enterprise Paths to Success

Organizations increasingly value big data and data science and embrace more diverse data sources to gain insight about customers, increase efficiency, and generate new revenue streams. Developing an effective analytics and data science strategy, however, is often a struggle. In the recent TDWI Best Practices Report: Data Science and Big Data – Enterprise Paths to Success, we take a look at organizations’ experiences with and plans for big data and data science and offer best practices for successfully implementing big data programs. Here are several of the key survey results.

Spotlight

YASH Technologies

YASH Technologies is a global technology services and outsourcing provider that is committed to helping customers align technology innovation with business strategy. With reach across five continents, YASH provides enterprise solutions and services, proprietary best practice offerings, strategic application and maintenance outsourcing, as well as consulting and integration services.

Other Infographics

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.

Complying with GDPR with the Help of Data Virtualization

Infographic | August 22, 2022

GDPR is the European Union’s (including the UK) data protection law that came into effect on May 25, 2018. Such a data protection law also exists in the United States,known as the California Consumer Privacy Act.

8 BIG DATA ANALYTICS TRENDS TO EXPECT IN 2021

Infographic | February 12, 2021

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.

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.

Is Business Intelligence Worth the Hype?

Infographic | June 24, 2022

33% of large-sized businesses will practice decision intelligence by 2023. In 2011, mobile business intelligence saw a jump of 260% in tablet sales. The global business intelligence market is expected to grow to over $33.3 billion by 2025.

Importance of Big Data Analytics in Businesses

Infographic | February 4, 2022

Big Data Analytics is important in business as it helps organizations harness their data and use it to identify new opportunities. Global big data and business analytics market size will reach Leveraging a big data analytics solution helps organizations unlock their strategic values and take full advantage of their assets. Big data initiatives were rated as “extremely important” by 93% of companies $684.12 billion by 2030.

Data Science and Big Data: Enterprise Paths to Success