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Overview

Business decisions are stronger when they are supported by reliable, accessible and well-organised information. However, many organisations manage data across spreadsheets, databases, operational applications and disconnected reporting systems, making it difficult to obtain a consistent view of performance.

Turntide helps businesses organise relevant data, develop reporting structures and build analytical solutions that make important business indicators easier to understand. Our services focus on connecting data sources, improving visibility and presenting information in formats suited to operational and management decisions.

BI, Data & Analytics at Turntide

Our Services

Business Intelligence Solutions

Development of reporting and analytical solutions that consolidate business information into structured views for management and operational teams.

Interactive Dashboards

Visual dashboards that display relevant KPIs, trends, comparisons and performance indicators based on agreed reporting requirements.

Data Integration

Combining data from supported databases, spreadsheets, applications and APIs to create a more consistent reporting environment.

Data Cleaning & Preparation

Identifying missing values, inconsistencies, duplicates and formatting issues that may affect reporting quality.

Data Modelling

Structuring data and defining relationships, calculations and business rules to support reliable analysis.

Management Reporting

Creating recurring reports covering relevant business areas such as sales, finance, operations, HR, inventory and customer activity.

KPI Definition & Tracking

Helping organisations define measurable indicators, calculation methods, reporting frequency and appropriate performance benchmarks.

Sales & Revenue Analytics

Analysing sales trends, revenue patterns, product performance, customer segments and pipeline indicators where the required data is available.

Operational Analytics

Reviewing process volumes, turnaround times, resource utilisation and other operational measures to identify improvement opportunities.

Financial & Cost Analytics

Consolidating relevant financial and expense data to support budget monitoring, cost analysis and management reporting.

Customer & Marketing Analytics

Analysing available customer, campaign, engagement and conversion data to understand performance and identify potential opportunities.

Trend & Forecast Analysis

Applying appropriate statistical or predictive methods to historical data where data quality and business context support meaningful analysis.

Automated Reporting

Reducing manual reporting effort through scheduled data refreshes and automated report generation where supported by the selected tools.

Data Quality & Governance

Establishing data definitions, access permissions, ownership and validation practices to improve consistency and reliability.

Our Analytics Approach

  1. 1
    Define Business QuestionsIdentify the decisions, performance indicators and information needs the solution must address.
  2. 2
    Assess Data SourcesReview available systems, data formats, access permissions and quality limitations.
  3. 3
    Prepare & Structure DataClean, integrate and organise relevant data according to the agreed reporting model.
  4. 4
    Develop Dashboards & ReportsBuild suitable visualisations, metrics and analytical views for intended users.
  5. 5
    Validate ResultsCheck calculations, data consistency and business definitions with relevant stakeholders.
  6. 6
    Improve ReportingRefine dashboards and analytical outputs as business needs evolve.