Eleanor Treharne-Jones’ Post

Bigeye is headed to Australia! I'm excited to catch up with Data & Analytics leaders in Sydney in a couple of weeks time. Come and meet the team at Booth 410, get a demo and enter to win some swag! 🇦🇺✨ Want a personalised demo? Book a spot here ⬇ https://hubs.la/Q02GzXq40 .

Getting Executive Buy-In For Data Initiatives 5 Questions To Ask ⬇️ In fast-growing organizations, data quality and reliability often take a backseat until a crisis hits, like an unexpected outage or a flawed machine learning model. Unless it’s a real threat to the business, only small investments in data reliability are likely to get buy-in. But once an outage does occur, you can be prepared with an action plan, and get buy-in while everyone still feels the heat. Ask: 1. How much time do data engineers spend on data reliability issues? 2. Do executives trust the data they use? How many decisions lack data backing? 3. What's the potential cost of an ML model outage? Could it be $1,000/hr or $1M/hr? 4. What are the compliance or PR risks of inaccurate customer data? 5. How might a lack of data reliability opens the company up to public embarrassment? You can try the Wall Street Journal test for this: Let's say the WSJ discovered that all your customers were sent invoices for 3x their actual usage. Would the business be impacted by this news coverage?

Bigeye is hiring a Product Manager! Know someone who'd be perfect for this role? Tag them in the comments or share so they can apply 📝 https://lnkd.in/g8_iTV8B .

I'm excited to share that Bigeye has been named a Representative Vendor in the 2024 Gartner® Market Guide for Data Observability Tools! 🎉 We believe this recognition shows our key role in helping companies keep their data reliable. The Gartner Market Guide is an excellent resource for data and analytics leaders, giving a clear overview of the data observability market and explains how different tools can improve data quality and business operations. Using this report, data leaders can learn about data observability before deciding on the best solutions for their needs. We’re proud to be featured and are committed to providing top-notch data observability tools for large enterprises. 🌟 Download your complimentary copy here: https://hubs.la/Q02F247s0 .

“If you think GenAI is #1 technology in the market catching the spotlight, I will say Data Observability is #2” says Melody Chien as the Gartner Market Guide into Data Observability is released today!

Announcing the Launch of Bigeye's New Systems Integrator Partner Program! This new program is designed to help partners take advantage of the growing demand for data observability solutions, providing them with the tools, resources, and support they need to succeed. Why Join Our Partner Program? Our Systems Integrator Partner Program offers a range of benefits, including: ✅ Dedicated Partner Manager to guide you through the program. ✅ Industry insights and exclusive webinars to keep you informed. ✅ Referral incentives to reward you for bringing new customers to Bigeye. ✅ New business opportunities by connecting you with customers in need of implementation support. ✅ Comprehensive training and support to ensure your team is ready to deploy data observability solutions. To learn more about our Systems Integrator Partner Program and how it can benefit your business, read more here: https://lnkd.in/gKjhYmZj .

🕵️♂️ Handling Incident Response as a Leader: Your team looks to you for guidance, show them how to handle pressure with grace. When your data hits the fan, here's what to do: Proactively Monitor: Ensure your team always has access to real-time alerts for early detection. Mobilize Your Team: Assemble the right squad, and assign roles to your team members so they know exactly what to work on, and what's expected of them. Provide clear guidelines for each role. Diagnose Effectively: Encourage your team to dig deep into the incident's scope and impact. Prioritize issues based on severity to allocate resources efficiently. Resolve with Confidence: Lead your team in implementing solutions, from rolling back changes to restarting tasks. Ensure your team uses monitoring to verify that business metrics are back on track. Reflect: Post-incident, have your team to document the entire process. Use the incident as a learning opportunity, focusing on process improvements rather than blaming teammates.

Data quality is the foundation upon which reliable and informed decision-making is built. High-quality data is accurate, consistent, and up-to-date, allowing organizations to trust their reports and forecasts. But what happens when data quality falls short? 🤕 ⛔ Impaired Forecasting Accurate forecasting is crucial for businesses to plan for the future, allocate resources efficiently, and set strategic goals. When data quality is compromised, forecasting models become unreliable, and inaccurate historical data can lead to flawed predictions. 🚨 Misinformed Decision Makers From strategic choices made by top executives to operational decisions made by front-line staff, data informs every level of decision-making within an organization. Poor data quality can cause a chain reaction of poor decisions and misallocation of resources. 😡 Customer Impact When data issues affect customer records, it can lead to mistakes like incorrect communications, billing errors, and service disruptions. Customers can become frustrated and even take their business elsewhere, leaving the organization's bottom line at risk. 🚩 Compliance Risk Businesses in many industries must adhere to strict data protection and privacy regulations. Poor data quality can lead to non-compliance, opening the organization up to legal and financial implications, as well as damage to its reputation.

Sooo... when's the next conference? Can't wait to break these new shirts out again.