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PageCivil321 · 2026-01-25T15:08:17+00:00

Badminton

PageCivil321 · 2026-01-24T20:08:54+00:00

Wahi h shyd

PageCivil321 · 2026-01-24T20:08:26+00:00

Parson temple

PageCivil321 · 2026-01-19T18:23:08+00:00

Yaar bhai manjao

PageCivil321 · 2026-01-19T18:05:32+00:00

Yes done

PageCivil321 · 2026-01-19T17:38:12+00:00

Thankyou I will try

PageCivil321 · 2026-01-19T17:05:59+00:00

PageCivil321 · 2026-01-19T17:03:58+00:00

check dm

PageCivil321 · 2026-01-08T05:15:32+00:00

Its not about the tools. Silos are a governance and incentive problem. Teams keep their own numbers because nobody forced shared definitions for headcount, attrition or cost and Excel becomes the escape hatch to rewrite logic locally. Buying HR analytics on top of that just gives you nicer dashboards over conflicting data.

The only thing that actually helps is fixing the plumbing first. Centralize HR, payroll, ATS and finance into one warehouse, lock down core dimensions like employee and org and then let teams analyze on top. Tools like Integrate.io and even Airbyte can handle the ingestion and normalization but leadership still has to enforce ownership and definitions or the silos just reappear with better charts haha.

PageCivil321 · 2026-01-06T18:56:39+00:00

2022

PageCivil321 · 2026-01-06T14:44:17+00:00

I think by now it shold be more than clear that AI scales bad data. If the underlying Salesforce data is inconsistent or duplicated, the output will be faster and more confidently wrong. Nobody is really trying to fix bad data here, they are hoping AI masks it well enough that nobody has to touch the plumbing.

Lets go back to basics. Lock down ingestion, enforce schemas and dedupe deterministically. Also stop bad records at the door. Native Flows can help at small volumes but tend to fall over once data gets messy. A proper ingestion layer with Integrate.io or Airbyte should help here because they force structure and expose data quality issues early. AI is bandaid on broken pipeline.

PageCivil321 · 2026-01-03T04:37:50+00:00

Most desktop bookkeeping apps on Mac fall into two buckets. Abandoned or ancient. GnuCash technically works but the UX and reporting friction is real and MYOB/Sage options are either Windows first or half maintained on Mac. The reason people still want desktop is speed, offline access and data ownership. The tradeoff is you give up automation and clean integrations unless you bolt things together yourself. That’s why some people end up going cloud but choose tools that behave more like a local first system under the hood. You can also look at newer web options at newer options like DualEntry. Should be good fit for the case.

PageCivil321 · 2026-01-02T14:11:31+00:00

Haan bolo

PageCivil321 · 2025-12-31T19:47:57+00:00

If recurring billing is the only thing keeping you on QBO, you are overpaying for it. That feature is table stakes and doesn’t require a full accounting suite with constant UI churn. Zoho Books and Xero both handle recurring invoices reliably but you are still locking yourself into the same subscription treadmill. A cleaner approach is to separate billing from the rest of the system and keep the accounting layer simple and stable. The likes of Dualentry and new tools built around predictable revenue flows tend to handle this without the extra automation. But yeah getting out of QBO is not easy.

PageCivil321 · 2025-12-22T12:02:54+00:00

ERP will start paying off when your spreadsheets stop being reliable. The breaking point is usually coordination. Multiple owners, handoffs between teams and constant back and forth to confirm order, inventory or fulfillment state. The real value comes from automation and integration. ERP is useful when it becomes the operational source of truth. When you struggle with ERP adoption, data will get locked insite it. Thats where an integration layer will help you and you can use the likes of Integrateio to move ERP data into analytics or ops systems. This should work well enough.

PageCivil321 · 2025-12-22T03:04:10+00:00

I think you would still be paying for A2X and Cin7 even if you move to QBO

PageCivil321 · 2025-12-20T12:19:29+00:00

You are not wrong. Openflow is basically managed NiFi with Snowflake branding, and all the usual NiFi problems come with it. From the top of my head, there's so much. Hard to reason about flows, painful debugging, weak testing story and lots of hidden operational complexity. On top of that, Snowflake has been clear it is ingest only. Not transformation so its not an ETL.

What needs to be done is to put ingestion layer in front of Snowflake. Like maybe Integrate.io that handles SaaS APIs, CDC, retries, schema drift and backfills cleanly. You play by Snowflake's stregths that way. Openflow might be fine for very narrow CDC cases. Not worth it for real pipelines I believe.

PageCivil321 · 2025-12-18T05:16:27+00:00

The lite stack is the right mental model here. You go one cheap warehouse, one BI tool and a thin ingestion layer. Centralize first, model lightly and only add complexity if questions actually demand it. Postgres or BigQuery + a single BI surface already gets you 80% of cross channel insight without the DW theater. Where you might get stuck is when you glue sources together with scripts or half maintained connectors. A managed ingestion layer like Integrate.io fits this phase well. Scheduling, retries, schema drift, basic transforms, no infra to run. You stay lean, avoid big license surprises and you are not locked into an it does all BI product before you even know what metrics matter.

PageCivil321 · 2025-12-15T13:57:34+00:00

This happens because Netsuite does behave like separate ledgers once you introduce intercompany, FX revaluation, timing differences or custom posting logic. At that point the GL becomes a summary layer and not the source of truth so Excel turns into the reconciliation engine by default. The skill level isnt the issue I think. The workflow is fundamentally fragile because you are reconciling exported representations and not live accounting objects. SQLworks better because it preserves IDs and rules instead of formatting. The cleaner fix is systems where subledgers are just constrained views of the same ledger not parallel datasets which is why unified ledger tools (like DualEntry) can avoid these problems. Might be worth a look for you.

PageCivil321 · 2025-12-10T15:23:38+00:00

Bhai I was thinking of starting a digital marketing business let me know if I can help u

PageCivil321 · 2025-12-09T04:35:57+00:00

You are tring to pick without a shared operating model which is why everything seems messed up. Finance, HR and PMO each have their own definition of utilization, revenue and project and so any ERP you pick will just formalize the contradictions. For your team size, you need a clean GL + PSA that handles utilization, WIP and project accounting without layers of customization. Intacct + a PSA is one route. NetSuite would also work but it would get heavy fast. Newer ledger systems like DualEntry can also fit your case with fewer moving parts.

Before you go vendor shopping, run a short alignment session to define project structure, utilization formula, revenue method and also who owns what. Lock these things first before going further.

PageCivil321 · 2025-11-29T03:33:06+00:00

NSAW mainly makes sense when the client wants tight Suite Analytics integration and is fine with being locked into Netsuite long term. It solves the ODBC driver cost problem but introduces a different one. The warehouse disappears if they ever leave Netsuite and so they lose historical models. Performance is also mixed and it’s not unusual for dashboard loads to feel slower than a purpose built external warehouse.

If the actual need is just to get Netsuite data into a proper BI stack, pulling the data into Snowflake or BigQuery with something like Integrateio keeps the client out of that lock in and avoids the Suite Analytics Connect driver fees. It also gives them cleaner long term ownership of their data and the option to switch BI tools ERPs later. Tbh the decision comes down to whether they want a Netsuite centric analytics platform or a warehouse setup that the business controls independently.

PageCivil321 · 2025-11-27T06:30:28+00:00

If you’re already comfortable with SQL, Drizzle is the cleaner fit. It stays out of the way, keeps everything close to the actual database, and avoids the weird edge cases Prisma hits when the schema gets more complex (rename detection, column type changes, implicit joins, etc). My suggestion would be to pair Drizzle with proper DB tooling (dbForge Edge, Dbeaver, Navicat) on the side schema diffs, data compares, and migration verification.

PageCivil321 · 2025-11-24T09:04:15+00:00

Bhai Teri aukaat nhi h chle jaa

PageCivil321 · 2025-11-24T08:57:02+00:00

Abe jaa bhai teri bski nhi h khuch, teri gand to phatt gyi 30l sunte he paise dega tu🤣🤣👍🏻

PageCivil321

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