Data enrichment can help B2B companies leverage their data to uncover insights and drive growth. With enriched data, businesses can target customers more precisely, personalize marketing campaigns, refine product lines, and explore new avenues for growth. However, data enrichment poses challenges such as data silos, outdated methods, overlooking external data, lack of clear strategy and objectives.
Read MoreBy 2027, Gartner predicts over 50% of CDAOs will secure funding for data literacy and AI literacy programs due to the failure of enterprises to achieve the expected value from GenAI. Few organizations are implementing AI literacy programs, but industry executives are beginning to realize that a workforce knowledgeable in data, analytics, and AI is vital.
Read MoreInternational Data Corporation (IDC) announced its Future of Intelligence predictions for 2023 and beyond. IDC's enterprise intelligence benchmarking research shows that maturity in enterprise intelligence makes a material difference to business outcomes.
Read MoreThe goal of deep tech is to offer breakthrough innovations to address sweeping problems like climate change. A new article by Boston Consulting Group (BCG) and Hello Tomorrow, “Meeting the Challenges of Deep Tech Investing,” notes that there are already unicorns in the field. There’s potential to accelerate this growth if a new investor model can be built.
Read MoreIn the modern manufacturing industry, data is considered a strategic asset, and market leaders are evolving their processes and business models to harness its benefits. Savvy manufacturers turn to artificial intelligence (AI), machine learning (ML), collaborative robots (cobots), and advanced metrology to improve production efficiency and product quality.
Read MoreFrontline and overlay sellers have the lowest data proficiency despite their focus on sales data and buyer activity. The Gartner report revealed that sales reps are considered to have one of the worst data proficiency (43%) in the organization – significantly lower than marketing teams (49%), customer service teams (49%) and finance teams (53%).
Read MoreAs organizations look for ways to deliver data-driven customer experiences, many executives have focused on building out their data infrastructure to capture, store and share the explosion of structured, unstructured and telemetry data being generated today. Infrastructure alone, however, will not be enough to develop and implement effective customer engagement strategies, according to Jason Davis, co-founder and CEO of New York-based Simon Data, in a thought leadership interview with BizTechReports.
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