Use the medallion architecture to balance data depth & credit efficiency. Dive deeper into optimizing your Domo setup. Read the full blog here. 👇 graphable.ai/blog/medallion-… (2 of 2)

🚨 The biggest mistake with Domo? Not thinking ahead! 💡 Bring in all your unprocessed data = High credit usage & complex workflows. 💡 Filter & aggregate too much = Missing key insights. Solution: Thoughtful planning! (1 of 2) 👇

See the blog for more details about why an analytics team as a service (ATaaS) for BI initiatives just makes sense. graphable.ai/blog/why-analyt…

Ever trained a BI employee, only to see them leave?🔄 It’s a common pain point. Graphable’s ATaaS keeps your BI initiatives on track, no matter who comes or goes. Robust documentation & strategic alignment ensure continuity. Let’s chat! #DataAnalytics #businessintelligence

↳ Rethink ETL Routines: Adjust the frequency of ETL tasks. Don’t run them every hour if daily or business-hour schedules would suffice ↳ Combine Datasets: If your teams are working with similar datasets, consider combining them where possible to reduce the output tables ⬇️

Is your Domo setup costing more credits than it should? Managing your Domo credits efficiently can significantly enhance your data operations without the extra costs. Here are some practical tips to optimize your setup ⬇️

🤔 Confused by Domo pricing? No need to be. Meet Domo’s game-changing consumption model. Instead of complex fees, Domo uses a simple credit system. 1. Accurately forecast budgets and adjust as needed. 2. Purchase credits to work with your data. 3. Done. Simple.

5. Using a basic platform? Upgrade for real-time insights. 6. Multiple dashboards? Consolidate your data.

3. Not leveraging data? Advanced analytics offer solutions. 4. Data not democratized? Make it accessible anywhere.

Signs of inadequate performance management: 1. Relying on lagging indicators? You need leading indicators. 2. Manually moving data? Automate KPI reporting.

Your analytics should solve problems, not create them. Here’s how to ensure they drive success:

Many people are unaware of what Domo's new consumption model really means. Get access to the entire platform with no extra charges for apps, data science tools, and more. 💡 Imagine having all the tools you need without hidden fees. Curious how it works? Let’s chat.

Graph technology is redefining how we detect money laundering. Financial institutions struggle with traditional methods due to the complexity of transactions, leaving many illicit activities undetected. But... (1 of 2)

Don’t disregard analytics solutions. Find ones that enhance your processes and operations. What features would make analytics tools indispensable for your accounting workflows? Let’s discuss below! 👇 (3 of 3)

↳Prioritize tracking & interaction over complex AI. ↳Tailor visuals to financial reporting standards. ↳Use easy-to-demonstrate governance controls. ↳Opt for real-time info flow & issue alerts. (2 of 3)

CFOs, do analytics solutions really understand your needs? Too often, they miss the mark on your unique processes and challenges. Here’s how to find solutions that align with your operations... (1 of 3)

If you could automate one accounting or finance task, what would it be and why? Comment below! 👇

CFOs, automation isn't just for marketing. And, your accounting team needs it. Here’s how automation helps: -Automate routine tasks. -Provide real-time insights with advanced analytics. -Improve compliance with data governance. -Fast decisions with instant data.

Money laundering is invincible… But only against certain traditional methods. Traditional detection methods struggle with complex financial transactions. ↳ Enter graph technology. Graph databases uncover intricate relationships in siloed datasets which.... (1 of 2)

Accounting analytics isn't optional anymore. CFOs must embrace it to stay competitive. Here's how: -Track & interact before diving into AI. -Automate tasks to save time. -Optimize visuals for financial needs. -Ensure data security & audit readiness. -Speed up info flow.