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Institutional communication is shaped by more than media coverage. A Data Pro connects sources, narratives and influence to help communication teams understand how issues emerge, who shapes them and how they move across markets. With multilingual monitoring, AI-assisted technology and expert analysis, we turn complex information environments into actionable intelligence. Explore integrated media intelligence for institutional decision-making. ➡️ https://bit.ly/4pR39mf

A large prospect list can hide a simple problem: too many of the contacts are not actually contactable. Bad emails, missing numbers, stale records. They all reduce the amount of usable outreach your team gets from the same prospecting effort. So stop judging your data provider by the size of its database. Judge it by how many prospects your reps can reach. Try A-Leads with 50 free leads.

Your list has 1,000 contacts. How many can your reps actually reach? Build a more usable prospect list with A-Leads. Get 50 leads free.

One insight from Qlik Connect has stayed with me. The average AI project now involves 6.3 organizations. Think about that for a moment. The era of a single vendor delivering customer outcomes is behind us. AI success depends on an ecosystem. I've always believed the best customer outcomes come from bringing together the right expertise. In today's AI landscape, that belief matters more than ever. At Qlik, I think of it as the Power of Three: • Qlik provides the trusted, connected data foundation that makes AI possible. • Technology alliances like AWS, Databricks, ServiceNow, and Snowflake extend what's possible through complementary innovation. • Channel partners bring the industry expertise, implementation skills, and trusted customer relationships that turn technology into business outcomes. Miss any one of those, and the equation changes. Great technology without a partner who understands the customer's business becomes a demo. A trusted advisor without the right data foundation can only go so far. And even the strongest technology alliance only creates value when it's implemented in the context of a customer's unique goals. The conversations I'm having with customers have shifted. They're no longer asking whether they should invest in AI. They're asking whether their data, systems, and operating model are ready to create measurable business value from it. No single company has all of those answers. That's why the future of AI belongs to ecosystems that collaborate, innovate, and execute together. I am excited about what we are building with our partners, and even more excited about what we'll accomplish together.

You already know AI agents are only as trustworthy as your data. This IDC Spotlight reveals what enterprise-ready agentic AI takes. Get your copy.

Arriverà un momento, entro i primi sei mesi del tuo programma di Data Governance, in cui il top management ti chiederà risultati concreti. Quello che riuscirai a mostrare dipenderà quasi interamente da come sei partito. Quindici anni di programmi di Data Governance condensati in un Playbook operativo: il modello a wave, la fase pilota READY → SET → GO → STAGE, la matrice di scoring dei casi d'uso, il ruolo della tecnologia.

La Data Governance è entrata stabilmente nell’agenda delle organizzazioni. Ma trasformarla da obiettivo dichiarato a capacità concreta rimane una sfida aperta. Governare il dato oggi significa creare le condizioni per decisioni affidabili, abilitare trasformazione digitale e AI, ridurre inefficienze e costruire un patrimonio informativo sostenibile nel tempo. Non è un tema esclusivamente tecnologico: richiede metodo, sponsorship, responsabilità chiare e una roadmap orientata al valore. Per questo abbiamo realizzato il nuovo Data Governance Playbook. Una guida operativa rivolta a CDO, CIO, CFO e Data Leader che vogliono avviare o consolidare un programma di governo del dato attraverso un approccio progressivo, misurabile e orientato ai risultati. Nel Playbook approfondiamo: • come impostare un programma di Data Governance sostenibile • come ottenere evidenze di valore già nelle prime fasi • come allineare governance, processi e tecnologia • come costruire le basi per iniziative Data & AI affidabili 📘 Richiedi il Playbook e scopri come trasformare il governo del dato in una leva concreta di crescita e innovazione.

Egress fees aren’t the real problem. They’re the signal that you’ve lost control. When backup storage is tied to your vendor: → Costs become unpredictable → Data movement becomes restricted → Control becomes limited HYCU lets you process data on-prem and store it in EU-owned infrastructure without penalties or lock-in. That’s what control actually looks like.

Most teams don’t realize this until it’s too late: Your SaaS data may run in the EU but your backup data often doesn’t. Ask yourself: • Where are your backup copies actually stored? • Can that location change if regulations shift? • Or is your vendor deciding for you? If you’re unsure that’s the problem. See how infrastructure teams take back control. Trusted by 4,600+ organizations worldwide.

Fixing address records is invisible work. Nobody thanks you for it. But the hours add up and they could be spent on something that moves things forward. Find out how many hours address cleansing and validation could free up in your CRM this year. Three questions, instant result.

22.5% of B2B contact data goes out of date every year. Automatically. Whether anyone notices or not. Address cleansing fixes what's already wrong. Validation stops new errors getting in. Find out how many hours you could get back. Three questions, instant result.

Bij Dicar staan meer dan 1.000 voertuigen op voorraad. Die voorraad vertegenwoordigt een grote waarde en heeft een directe impact op cashflow. In een sector met seizoenspatronen is timing alles. Wanneer leveranciersleveringen en klantenafleveringen niet matchen, voel je dat meteen in je cash. Met de InsightData Supply Chain App stuurt Dicar vandaag op pieken en dalen. Zien wat binnenkomt. Zien wat buitengaat. Beter beslissen. "Voorraad en cashflow zijn bij ons sterk met elkaar verbonden. We moeten weten wanneer de pieken en dalen komen, zodat we beter kunnen sturen." Zjeff Mondelaers, CFO Dicar Lees hoe Dicar voorraad én cashflow in één beeld brengt. #BeslistBeter #SupplyChain #CashflowManagement #BI

We're one week out from our live Imply Lumi Observability Warehouse demo! Join Matthew Morrissey and Peter Marshall for a look at how teams are using Lumi to do more with Splunk and modern observability stacks, without replatforming. https://bit.ly/4uYRRO8

Query unstructured logs directly where they already live. Lumi Loglake launches next month at Databricks #DataAISummit. Get a first look here: https://bit.ly/3RCFN6N

Most SaaS companies tell you their tool is a game-changer. We decided to prove it by showing you exactly how our own marketing team uses Hurree every single day. We were tired of "tab-hopping" between HubSpot, LinkedIn Ads, and Google Sheets. So, we centralized everything. The result? 📉 -68% LinkedIn CPC 📈 +37.3% Email Open Rate ⏱️ Zero hours spent on manual reporting Take a transparent look at the workflows, dashboards, and AI insights driving our growth. Unlock the secrets of Hurree in our latest blog.👀👇

Most SaaS companies tell you their tool is a game-changer. We decided to prove it by showing you exactly how our own marketing team uses Hurree every single day. We were tired of "tab-hopping" between every platform we track. So, we centralized everything. The result? 📉 -68% CPC 📈 +37.3% Email Open Rate ⏱️ Zero hours spent on manual reporting Take a transparent look at the workflows, dashboards, and AI insights driving our growth. Unlock the secrets of Hurree in our latest blog.👀👇

Quando o compliance vira gargalo, o problema não é o compliance. É o processo. Muitas operações ainda dependem de validações manuais, consultas dispersas e etapas desconectadas. O resultado? Aprovações demoradas, aumento de custo operacional e experiência ruim para o cliente. Mas velocidade e segurança não precisam competir! Empresas mais eficientes já estruturam seus processos para que o compliance aconteça de forma automatizada, integrada e em tempo real. Assim, conseguem: reduzir tempo de resposta manter consistência nas validações escalar sem aumentar complexidade Clique e fale conosco.

If your leadership team is waiting on analysts to answer basic business questions, this is for you. 10 questions. What they take to answer today. What DataBlueprint surfaces in under a minute. Free. No sign-up required to read.

Why did gross margin drop? Which customers are at risk right now? Where is cash going next 30 days? These are questions your business should answer instantly. Most can't. We put all 10 on one free page with what it takes to actually answer them.

Goede BI laat niet alleen zien wat er gisteren gebeurd is. Goede BI legt bloot waar processen aangescherpt moeten worden. Bij Dicar verschoven de gesprekken. Van "welk cijfer is juist?" naar "welk proces moet beter?". "Als het niet juist staat in de InsightData Apps, zit er meestal iets fout in het proces of in de input. Dat maakt het net zichtbaar." Zjeff Mondelaers, CFO Dicar Eén versie van de waarheid. Minder discussie. Meer sturen op feiten. Lees hoe Dicar dat doet. #BeslistBeter #DataKwaliteit #ProcesOptimalisatie #BI

Muitas empresas ainda enxergam a fraude como um evento isolado. Mas a verdade é que ela costuma deixar sinais muito antes de gerar prejuízos. Quando alertas passam despercebidos, as perdas deixam de ser uma possibilidade e se tornam uma consequência. Por isso, as organizações mais maduras estão substituindo análises pontuais por uma estratégia contínua de prevenção, conectando onboarding, diligências, monitoramento e inteligência transacional em uma única jornada. A prevenção de perdas não acontece quando o problema surge. Ela acontece quando sua empresa consegue identificar riscos antes que eles impactem a operação. Descubra como fortalecer sua estratégia de compliance e prevenção a fraudes com inteligência aplicada.

100,000+ vCPUs. Four data centers. Five legacy analytics platforms consolidated into one self-hosted lakehouse. That is not a benchmark slide. It is IOMETE running at production scale inside a customer's own infrastructure perimeter. The commercial case is simple: at enterprise scale, SaaS lakehouse economics compound fast. DBUs, credits, egress, platform fees, and managed-service markups turn your own data into someone else's margin. IOMETE runs the lakehouse on infrastructure you control: on-prem, private cloud, public cloud, or hybrid. You keep the open architecture, Spark/Iceberg foundation, SQL, notebooks, catalog, governance, and workload isolation. You also keep the infrastructure economics. The proof is now concrete: large-scale production deployment, a tier-1 bank moving overnight batch to sub-60-second processing, and regulated teams using IOMETE where data cannot leave the trust boundary. See the self-hosted cost model.

Your regulator does not audit your vendor's promise. It audits your control. Under DORA, a SaaS-only lakehouse is not just a data platform choice. It is a third-party ICT dependency your team has to document, test, monitor, and defend. IOMETE gives financial-services data teams a different architecture: a self-hosted lakehouse running inside your own infrastructure boundary. Storage, compute, metadata, encryption keys, access logs, and audit trails stay under your control. This is not theoretical. IOMETE is used in financial-services environments with air-gapped deployment requirements, holds SOC 2 Type II certification, and supports HIPAA and GDPR compliance. If your current Databricks or Snowflake setup leaves you explaining vendor concentration risk to compliance, the next conversation should be architectural, not contractual. Book a DORA architecture review.

“La velocidad de entrega de software ha aumentado gracias a la automatización de DevOps y al desarrollo asistido por IA, pero las prácticas de gestión de datos de prueba no han avanzado al mismo ritmo”. Este nuevo reporte de Gartner® destaca la modernización de los servicios sociales y destaca las tecnologías que la hacen posible. Entre ellas, el DevOps Test Data Management, cuya misión es segurar la calidad del software con datos seguros y fiables. 👉 Descárgalo y descubre todos los insights.