- Sixty-five percent of survey respondents expressed concern or extreme concern about their capacity to attract sufficient talent to satisfy their objectives.
Data is growing in volume, velocity, and diversity at unprecedented rates, and tech workers have front-row seats to the emergence of hyper-scale datasets – those containing over a trillion records. In 2022, Ocient polled 500 IT experts at director-level or above positions to know their thoughts about the future of data analysis at the hyper-scale level.
Of all those surveyed, 78% say their organization’s capacity to evaluate data is closely associated with its bottom line. There are innumerable possibilities to capitalize on the information created daily, and businesses that seize these opportunities will soon leverage the advantages.
Whether the data is collected from Internet of Things (IoT) sensors, consumer devices, or system logs, a thorough, timely analysis can help firms unearth various types of needle-in-a-haystack insights that result in the most successful and inventive new products and services.
Data infrastructure strain affects data analysis
However, data warehouses constructed and deployed only a few years ago are beginning to feel the burden of excessive data. Fifty-nine percent of the surveyed respondents actively want to replace their data warehouses, which they perceive as obsolete, restricted capabilities, and inflexible. Their future wish lists are enhanced performance, agility, connection, robust security, decreased complexity, and reasonable prices.
But locating the appropriate data warehouse is just a part of the challenge: The explosion of data and the requirement to analyze it necessitates individuals with the ideal mix of skills and experience. Unfortunately, recruiting these individuals is increasingly challenging, and 65% of survey respondents expressed concern or extreme concern about their capacity to attract sufficient talent to satisfy their objectives.
According to the Ocient research on hyper-scale data analysis and analytics, the world is entering beyond the era of big data and venturing into a period characterized by databases containing billions and trillions of records. IT workers know that beneath these records are endless chances to improve income, reduce expenditures, and move their businesses into the future.