N-Analytics is our pre-packaged analytics platform built on cloud that helps companies jumpstart their journey to becoming data-driven. Standing up an enterprise-grade analytics environment can be complex – you need to set up data storage, processing, visualization, etc., and ensure it all works together. N-Analytics accelerates this by providing a ready-made blueprint and toolkit.

When we deploy N-Analytics for you, we start by setting up a centralized data repository in the cloud. Next, we establish data pipelines which regularly pull data from your sources (ERP databases, CRM, IoT feeds, etc.) into the repository. We incorporate data transformation and quality rules so the data is analytics-ready.

On top of this, N-Analytics includes a semantic layer and pre-defined data models for common business domains – for example, a finance data mart, a sales data mart, inventory, HR, etc., with key metrics pre-modeled (so things like revenue, margin, inventory turns, employee turnover rate are defined consistently).

For visualization and reporting, N-Analytics can integrate with your tool of choice. We provide starter dashboards and report templates as part of the package. These templates cover widely used dashboards (executive summary, finance dashboard, sales performance, operational KPIs, etc.), which can then be customized.

We also include user access controls, data security configurations (encryption, IAM roles), and performance tuning as part of the deployment.

N-FPA is our cloud-based Financial Planning & Analysis (FP&A) application that modernizes how companies do budgeting, forecasting, and financial reporting. Many finance teams today still rely on Excel for planning and consolidation, which can be slow, error-prone, and hard to scale. N-FPA offers a purpose-built solution that combines the familiarity of spreadsheet-like input with the power of a centralized, secure database and advanced modeling capabilities.

As a SaaS (Software-as-a-Service) app, N-FPA is accessible through the web anywhere, anytime, and doesn't require heavy IT involvement to maintain.

It provides modules for all the core FP&A activities – budgeting, forecasting, workforce planning, capital expenditure planning, and financial consolidation. Users (e.g., department budget owners, financial analysts) can enter their figures and assumptions through a friendly interface that supports Excel-like formulas but with data validation and without the risk of broken links or outdated files.

All data rolls up in real-time to a central database, so at any point the finance team can get an up-to-date view of the total company plan. N-FPA supports complex planning requirements such as multi-currency planning (with exchange rate management), multi-scenario planning (best case, base case, worst case), and driver-based planning (linking inputs like sales volume to outputs like revenue and expense through predefined logic).

It also has workflow and approval capabilities – for example, budget submissions can go through an approval chain within the app, replacing endless email threads.

In today's world, data is often called the "new oil" – a valuable resource that can fuel your business growth if harnessed correctly. Our Data Strategy advisory helps you define how to turn raw data into a strategic asset.

We start by understanding your business goals and assessing your current data landscape: What data do you have? Where is it stored? How is it used (or not used)? We then work with your stakeholders to formulate a clear data vision and roadmap. This includes identifying high-value data sources and data that might be missing, determining how to integrate and centralize that data (for example, building a data lake or warehouse), and establishing governance practices to maintain data quality and security.

We cover aspects like data ownership, data stewardship roles, master data management, and data cataloging so that everyone in your organization knows what data exists and can trust its accuracy. Moreover, we align the data strategy with business initiatives: if your goal is to improve customer experience, we focus on customer data and analytics use cases; if it's operational efficiency, we ensure you're capturing and analyzing process and IoT data.

Finally, we help with the cultural aspect – promoting a data-driven culture where decisions at all levels are backed by data insights.