Cloudera
DECEMBER 19, 2024
Customers are dealing with data stores across multiple clouds and on-premises environments that, for a variety of reasons, may never move to a cloud. However, they still need to provide access to a unified view of that data for many use casesfrom customer analytics to operational efficiency.
Smarten
JANUARY 6, 2025
Depending on how you plan to use analytics within the organization, and on the use cases you develop to test solution capability, you may find that some solutions will not meet the needs. The future of LCNC will include expanded and enhanced artificial intelligence (AI) capabilities.
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Sisense
FEBRUARY 11, 2020
Well, if you want to build custom analytics to help empower your teammates in their roles, you’re going to need to understand their workflows. Whenever we talk about building better custom analytics dashboards , we say communication is key. If you’re building actionable analytics, this is also the case.
KDnuggets
NOVEMBER 10, 2021
Join this webinar, Nov 11, to learn how leveraging third-party financial services data can facilitate faster, intelligence-based decision-making that propels your company's business outcomes and digital transformation.
bridgei2i
JUNE 30, 2020
I collaborate with multiple stakeholders across many global CPG companies, enabling high impact business transformation strategies and guiding them in their analytics journey. He brings deep experience supporting high tech e-commerce and retail clients in the areas of marketing, pre-sales analytics, and web analytics.
Cloudera
AUGUST 27, 2021
So, what was it about Telkomsel’s head-on approach to digital transformation that caught the judges’ attention? Telkomsel – 2020’s Industry Transformation award winner . Its initial step in the pursuit of a digital-first strategy saw it turn to Cloudera for a more agile and cost-effective data storage infrastructure.
CIO Business Intelligence
APRIL 19, 2022
Data centre provider NEXTDC describes the different way organisations approach digital transformation as being a battle between ‘data thrivers’ and ‘data survivors’ – the former constantly improving their service delivery and the latter just struggling to keep their heads above water. Thrivers v. Achieving data traction.
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