Titelbild von Acterys  |  Plan to SucceedActerys  |  Plan to Succeed
Acterys  |  Plan to Succeed

Acterys | Plan to Succeed

IT und Services

Sydney, New South Wales 8.468 Follower:innen

Agile Planning, Modeling, & Analytics with Microsoft Power BI, SQL Server, Fabric & Excel

Info

Acterys is a global leader in integrated smart business applications, designed to seamlessly integrate with self-service analytics platforms like Power BI and Excel. Trusted by over 1,000 clients worldwide, including several Fortune 100 companies and top enterprises across 100+ countries, Acterys empowers finance and operation professionals to streamline data management, planning, and forecasting with exceptional efficiency. Supported by a global team of more than 100 experts, we are dedicated to delivering the most innovative and user-friendly ecosystem for rapid process optimization. In 2023, Microsoft recognized Acterys as the official xP&A platform for its Dynamics suite, solidifying our position as a key innovator in Extended Planning & Analytics (xP&A).

Website
https://www.acterys.com
Branche
IT und Services
Größe
51–200 Beschäftigte
Hauptsitz
Sydney, New South Wales
Art
Privatunternehmen
Gegründet
2017
Spezialgebiete
Financial Planning & Analytics, Budgeting, Performance Management, Business Intelligence, Forecasting, Power BI, SQL Server, FP&A, Planning, Microsoft, Azure, BI, EPM, CPM, Enterprise Performance Management, Corporate Performance Management, Excel, Dashboards, KPI, Analytics, Financial Reporting, SG&A, SSAS, Microsoft SQL Server Analysis Services, HR Planning, Workforce Planning, CAPEX, OPEX, Xero, QBO, SAP, Infor, TM1, Cognos, Jedox, Adaptive Insights, netsuite und stripe

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Beschäftigte von Acterys | Plan to Succeed

Updates

  • Today we're sharing exciting news from Vena Solutions that directly shapes what’s next for Acterys customers. Vena Solutions, the leader in Microsoft-native orchestrated financial and operational planning, today announced it has entered into a definitive agreement to acquire Morpheo AI, subject to customary closing conditions.  Earlier this year, Vena acquired Acterys, adding advanced operational planning and write-back to Power BI across the broader Vena portfolio. Together with Morpheo AI’s technology, it will strengthen the governed data and cumulative context foundation across the Vena portfolio, connecting financial and operational data to support orchestrated performance across planning and decisioning in Excel-native and Power BI-native experiences. For Acterys customers, that means an even clearer path to turn fragmented enterprise data into structured, enriched business context that AI can understand and act on while continuing to build on the Microsoft investments, systems, and controls they already rely on. See what this means for the future of Acterys and Power BI, link in the comments

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  • Seeing AI token spend is not the same as controlling it.   A Power BI dashboard can show which teams, tools, and workflows consumed the most tokens. But it cannot forecast next month’s usage, assign ownership, or help Finance adjust the plan before the invoice arrives and the budget impact has already occurred.   That is the gap AI spend management needs to close.   With planning and write-back in Power BI, Finance teams can: → Forecast future AI token consumption → Model different adoption and usage scenarios → Allocate costs to departments or workflows → Connect AI spend to headcount, productivity, and business value → Update budgets as assumptions change   The goal is not to slow AI adoption, but to make it financially sustainable.   Read the full blog to learn how Finance can move from AI spend visibility to planning-led control. Link in the comments. #AISpendManagement #PowerBI #Writeback

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  • Cloud consumption doesn’t wait for month-end. Azure and AI workloads keep metering, and finance sees the impact when the bill arrives. But your finance teams can take control with Cloud Consumption Control Planning in Power BI. You can: - Track spend by department and service - Identify the largest cost drivers - Forecast consumption - Chargeback to appropriate departments - Adjust budgets through governed Power BI write-back All that without moving data outside your tenant. See how you can control and optimize your cloud and Azure consumption. And this is only the beginning. AI token spend control is next. We’ll show how finance teams can forecast usage, optimize budgets, assign ownership, and govern token costs before they become another budget surprise. #PowerBI #CloudCostManagement #Writeback

  • Microsoft Fabric shows a 379% ROI. But that return applies to the data layer, NOT the planning layer. If your forecasts still live in disconnected spreadsheets while your data moves to Fabric, part of that ROI is quietly leaking away. Acterys brings write-back planning into #PowerBI and Microsoft Fabric, so your plans and forecasts can keep pace with your data instead of falling behind. Learn more: https://lnkd.in/dfUU6ZkB #FPandA #CFO #FinancialPlanning

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  • Unternehmensseite für Acterys  |  Plan to Succeed anzeigen

    8.468 Follower:innen

    Power BI is great for reading numbers. But it won’t let you change them. That read-only limitation is why so much #Planning still gets pushed into Excel. Sound familiar? In Episode 3 of our Power BI Write-back Use Case Series, Derek Villeneuve shows how teams can edit data, forecast, and complete planning workflows directly inside their Power BI reports. Report → Analyze → Plan → Forecast → Run What-If Scenarios → Submit → Review → Approve All without leaving the Power BI environment you already use. No more exports. No more shuffling spreadsheets. #PowerBI #Writeback #FPandA

  • Acterys | Plan to Succeed hat dies direkt geteilt

    Every FP&A team already does this. You just do it in Excel. Someone wants to test a scenario, so they save a copy. Budget_v4_final_JS.xlsx. Then another copy, then another, and by month end nobody's sure which file is the real one. The reason is simple. People need somewhere to run a what-if without touching the numbers everyone else is working from. If you're all planning off one shared version, one person's experiment can move the numbers the rest of the team is relying on. So you either avoid testing, or you break off a copy and lose track. In Episode 6 I show a cleaner way. With the Acterys Copy Visual, you copy the budget into your own version on the fly, rename it, and get a private sandbox. Adjust revenue lines, change payroll, leave comments for other team members you want to share the version with, watch the impact on the dashboard, all without touching the master version. Same report, same Power BI. One source of truth, and a safe place to test before anything is real. New episode every Wednesday. Episode 6 is below.

  • Power BI write-back is what closes the gap between spotting a problem and acting on it. This Wednesday at ESPC’s Microsoft Fabric Week, Mike Marotta will show how Acterys helps teams turn Power BI insights into governed action. Most Power BI environments can surface anomalies. But the fix often happens somewhere else: spreadsheets, emails, or disconnected planning workflows. That is the gap this session is built around. You’ll see how Acterys brings anomaly detection, smart recommendations, and governed write-back into the same Power BI experience, so teams can move from insight to corrective action without leaving the platform. 📅 Wednesday, July 15 | 4 PM CEST Register before it starts. Link in the comments. #PowerBI #MicrosoftFabric #WriteBack #AIPlanning #FPandA #Acterys

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  • There are four ways to get #Writeback into #PowerBI on Microsoft Fabric, and they’re NOT interchangeable. - A quick write-back table won’t scale - A Power Apps visual caps out near 1,000 rows - Translytical Task Flows are native but require your team to maintain Python code - A platform only earns its place once write-back has to serve more than one team Swipe to learn where each option works, where it breaks, and how you can get write-back and planning in Power BI that works at scale. Read the full breakdown in the blog: https://lnkd.in/dz3Wr7hx #PowerBI #MicrosoftFabric #Writeback #DataEngineering #FPandA 

  • Power BI consultants and reseller partners: How often do client conversations stall because “Power BI can’t do that”? Your clients do not always need a new platform or a custom Power Apps build. Sometimes, they need a faster way to extend Power BI with write-back, data management, planning, forecasting, and AI-ready capabilities. Join this webinar to see how you can help clients solve more challenges while staying inside the Power BI ecosystem that you and your clients already know and trust.

    You've turned down more Power BI revenue this year than you've closed. You just didn't know that's what you were doing. Every time a client asked to write a number back into a report, you said "Power BI can't do that." Every shadow Excel file feeding a dashboard. Every comment that vanished behind a filter. Those weren't feature requests. Those were deals you didn't see. Power BI shows data. It was never built to act on it. You don't have to live with that limitation anymore. Acterys write-back sits inside the same Power BI stack you already sold. Nothing ripped out, nothing re-platformed. One client went from five days to two hours on their reporting cycle. Same Power BI. Beat 25 competitors to get the embed. Walking through this July 16, live with MSDynamicsWorld.com (MSDW). The revenue's still sitting there. It won't wait for you to notice.

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  • AI should accelerate planning, not create another review cycle. That requires connected systems, governed data, and enough business context for AI to produce answers teams can trust. Acterys' Mike Zack and Vena's Hugh Cumming discussed how to build that foundation at Excelerate. Full session in the comments.

    Unternehmensseite für Vena Solutions anzeigen

    39.961 Follower:innen

    If AI gives you a wrong answer, you do your planning work twice. Once asking, once going back to get it right. That round trip takes away the speed AI was supposed to bring, and trust goes with it. The fix is governance: connecting your systems to a shared level of trust, structuring the data and putting context around it so AI can make sense of what it is reading. Get that right and you can lead forward with the answer instead of double-checking it. Vena's Chief Technology Officer Hugh Cumming, Acterys | Plan to Succeed Chief Executive Officer Mike Zack and Acterys' SVP Global Alliances Eric Reyhle break it down at Excelerate. Watch full session, link in comments. How does your team decide when an AI answer is ready to act on in your plan?

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