Data Stone’s platform helps your company sell more with updated and integrated data.
With two powerful modules, we offer the complete solution for prospecting and commercial intelligence in both B2C and B2B markets.
In the B2C module, you create qualified lists with mailing and leads, as well as perform enrichment, consultation, cleansing, and data validation. This ensures your data is always clean, up-to-date, and ready to deliver real results.
In the B2B module, find qualified decision-makers using advanced filters by job title, location, company size, and industry segment. This way, your team talks directly to the decision-maker, accelerating your sales and opportunities.
With access to over 23 million companies and 6 million decision-makers updated in real time, we provide precision and intelligence for your marketing and sales campaigns.
Our platform integrates with the main CRMs on the market, automating data updates and optimizing your sales workflow.
Turn data into real opportunities. Optimize your prospecting, increase sales effectiveness, and accelerate your business growth with Data Stone.
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Pros: The best part of working at Data Stone is definitely the people. My colleagues are brilliant, always willing to help out, and make coming to work enjoyable. We tackle some really interesting data science and analytics problems that keep you engaged. The São Paulo office is also a decent hub, and I appreciate the flexibility we have with our work setup, allowing for a reasonable work-life balance overall.
Cons: While collaboration is strong, sometimes project timelines get stretched because of inefficient internal workflows or a lack of clear, top-down prioritization. It would be beneficial for management to streamline some approval processes and provide more transparent roadmaps for upcoming initiatives, especially for those of us in technical roles like data analysis.
Advice to Management: Consider investing more in professional development programs for technical staff and implementing clearer communication channels for strategic updates. This will help foster better alignment and growth across teams.
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What's the typical dress code at Data Stone, a tech company in Austin?
At Data Stone, the dress code is pretty casual, leaning towards business casual. Most employees in roles like data analyst or software engineer wear jeans and t-shirts, though some opt for button-downs.
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