Analytics Technologies Data-driven Digital Transformation 
Sisense
NOVEMBER 26, 2019
With data growing at a staggering rate, managing and structuring it is vital to your survival. We live in a world of data. Think back to when your company first started storing data, years ago: do any of you remember those clunky tapes, floppy disks, burning CDs, and DVDs? Everything about data storage has changed since then.
Smart Data Collective
JULY 9, 2021
Fortunately, new advances in big data technology are helping companies get better qualified workers. Data analytics technology is very important in assessing the performance of staffing services. Companies can use data analytics to improve their hiring processes. Reducing staffing costs.
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CIO Business Intelligence
FEBRUARY 16, 2024
Vipul Nagrath, who was global CIO of ADP during the company’s early embrace of the cloud, spearheaded ADP’s companywide digital transformation, which started in earnest five years ago fueled by the company’s hybrid cloud. There’s a brand-new wave of digital transformation that’s coming,” he says.
CIO Business Intelligence
JUNE 1, 2022
The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. For businesses like the McLaren Group, these two trends are at the core of the conglomerate’s digital transformation and competitive strategy, on and off the track. .
Alation
FEBRUARY 13, 2020
It concerns me that a similar approach has taken over the IT world with the recent avalanche of “digital transformation” initiatives being kicked-off in major enterprises. Digital transformation” is often described as technology-led innovation, but innovation for innovation’s sake can run you into the ground, a la Gibson.
Timo Elliott
JANUARY 22, 2019
2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s.
Sisense
MARCH 17, 2021
Many companies have invested in a top-tier analytics solution by now. Their aspirations for the technology are lofty. But the data suggests a significant gap between these aspirations and the reality. In fact, within most organizations, there’s a gaping expanse between analytics capabilities and having the skills to use them.
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