TRCONTACT
Home/Services/Data Analytics Services

Data Analytics Services

Our data analytics service prepares your period reports with RAPORMACHINE, developed in-house by DijitalPi. The engine calculates ratios from raw figures and lays out the report; our team interprets the data, reviews business decisions with you and shares the report with your approval.

100 conversions: how many separate enquiries? Try the demo

How does data reporting work with RAPORMACHINE?

RAPORMACHINE places the supplied period data in your selected report format. The diagram below shows scenarios for a monthly report, documents and slides, and missing data. Each scenario uses the steps it needs.

Inputs

  • Period dataRaw numbers for the reporting period
  • Previous periodData for period comparisons
  • Report formatHTML, A4 document or 16:9 presentation

How we work

  • Same data, same reportThe engine does not use AI
  • Ratios use raw numbersRatios are not entered by hand
  • Missing data shows “pending”The engine never guesses data
  • Our team checks the reportThe team gives final approval

Outputs

  • HTML reportA period report in a single file
  • A4 documentReport laid out on A4 pages
  • 16:9 presentationPeriod data arranged for presentation
  • PendingStatus of fields with missing data

The engine calculates ratios from raw numbers. The same data produces the same report.

  1. Data: RAPORMACHINE reads the period data and format choice; you see the reporting period and missing fields.
  2. Calculate: RAPORMACHINE calculates ratios from available raw figures; you see the calculated values in the report.
  3. Layout: RAPORMACHINE arranges data in an HTML report, A4 document or 16:9 presentation; you see the output for your meeting.
  4. Check: RAPORMACHINE checks overflow, contrast and typography; you review the report after its readability checks.
  5. Approval: RAPORMACHINE leaves the prepared report for our team's final review; you see the output awaiting review.
  6. Interpretation: Our team assesses period differences against tracking conditions and your sales process; you see possible explanations and proposed actions.
  7. Sharing: Our team delivers the report with your approval to share it; you see the approved report and agreed next actions.

RAPORMACHINE's working rules

  • Same data, same report: The engine uses rules and does not use artificial intelligence.
  • Ratios use raw numbers: Ratios are not taken from manually entered results.
  • Missing data shows “pending”: Missing figures are not filled with estimates.
  • Our team checks the report: Our team reviews the report; you approve sharing.

The sample screen below shows blocks from a single-file HTML report, ratios calculated from raw figures and a field awaiting data. This sample view uses illustrative data; it is not a client result or a performance forecast.

RAPORMACHINE sample screen

RAPORMACHINESample brandSample period

Sample view, illustrative data

  • Forms / visits3.20%124 / 3,875; illustrative ratio
  • Qualified enquiries / forms37.90%47 / 124; illustrative ratio

HTML report blocks

  1. Visits and formsReady
    Source
    Period visit record
    Visits
    3,875
    Forms
    124

    Form rate calculated from raw figures.

  2. Enquiry qualityIn review
    Source
    Period enquiry record
    Forms
    124
    Qualified enquiries
    47

    Awaiting final team review.

  3. Sales summaryData pending
    Source
    Period sales record
    Sales count
    Pending

    Missing data shows “pending”; missing figures are not estimated.

  4. Period comparisonReady
    Source
    Current and prior period records
    Format
    HTML report

    Period differences appear in the report.

Report checks

  • Calculation from raw figuresCalculated
  • Missing data flagSales data pending
  • Overflow, contrast and typographyChecked
  • Team review and sharing approvalPending

INTERACTIVE DEMO

100 reported conversions. How many separate enquiries?

A form submission can be recorded twice, and a test submission can appear in the same report. So 100 conversions do not necessarily mean 100 customers. Try the checks below to see how we separate event records from enquiries. Whether an enquiry is relevant or becomes a sale requires a separate review.

Illustrative data only. No client names, personal data, AI calls or external connections are used by this demo. Your choices stay in this page’s memory and clear when you change the example, reset or reload.

02 / Check the records

A request ID identifies one submission. Different submissions by the same person are not automatically merged.

03 / Read the result

100 event records in the report
Repeated records removed
0
Test records removed
0
100records awaiting checks

Select both checks to count separate enquiries in this example.

What does this example show?

In the first example, 72 separate submissions generated 90 event records because 18 were recorded again. Another 10 records were tests. After both checks: 100 − 18 − 10 = 72 separate enquiries. Missing request IDs are kept for review, not guessed. Real reports need their event definitions and tracking setup checked first.

How does this help your marketing?

Before increasing a campaign’s budget, check what its conversion count represents. Then review enquiry quality and sales outcomes with your team. This demo checks counting only; it does not judge campaign success or predict revenue.

Let’s review your measurement setup

✦ PI ASSISTANT · ARTIFICIAL INTELLIGENCE

online

Ask about Data Analytics Services

No need to fill in a form and wait for a reply — write your question and let Pi, trained on DijitalPi's 20 years of know-how, answer within seconds.

  • Instant answers, 24/7
  • Service-specific context — no generic replies
  • Can connect you to a free consultation if you wish
Hi! 👋 I'm Pi — DijitalPi's AI assistant. Write whatever you'd like to know about Data Analytics Services and I'll answer right away.

Pi Assistant answers are for information purposes; for a proposal get in touch.

Brands that trust us

  • ONA — DijitalPi reference
  • Ülker Bizim Topraklardan — DijitalPi reference
  • İstanbul Galata Üniversitesi — DijitalPi reference
  • İstanbul Medipol Üniversitesi — DijitalPi reference
  • Biruni Üniversitesi Diş Hekimliği Fakültesi Hastanesi — DijitalPi reference
  • Royal Motors İstanbul — DijitalPi reference
  • Hümaliva Chocolate & Coffee — DijitalPi reference
  • Lie Down — DijitalPi reference
  • Leodent Dental Clinic — DijitalPi reference
  • Prof. Dr. Esra Bayrı — DijitalPi reference
  • Prof. Dr. Fevzi Şentürk — DijitalPi reference
  • Düzey Göz — DijitalPi reference
  • Ülker — DijitalPi reference
  • Prof. Dr. Ali Civelek — DijitalPi reference
  • Dr. Coşkunseven — DijitalPi reference
  • Op. Dr. Atakan Güvendiren — DijitalPi reference
  • Oryataş — DijitalPi reference
  • Cerri — DijitalPi reference
  • Kaynak Psikoterapi — DijitalPi reference
  • Çağ Akademi — DijitalPi reference
  • DGI Works ATM Technologies — DijitalPi reference
  • MedTerapi — DijitalPi reference
  • Işıklı Mimarlık — DijitalPi reference
  • Orzax — DijitalPi reference
  • Bizim Toptan Market — DijitalPi reference
  • Yataş Bedding — DijitalPi reference
  • Trabzonspor — DijitalPi reference
  • Ankara Medipol Üniversitesi — DijitalPi reference
  • Biruni Üniversitesi Tıp Fakültesi Hastanesi — DijitalPi reference
  • Fuji Plus — DijitalPi reference
  • Pendik Yüzyıl Hastanesi — DijitalPi reference
  • Hair Genesis — DijitalPi reference
  • Clinic Evoy — DijitalPi reference
  • Furkan Özay Esthetic Dentistry — DijitalPi reference
  • Prof. Dr. Barış Çaynak — DijitalPi reference
  • ADX Eyewear — DijitalPi reference
  • Dişevim — DijitalPi reference
  • Doç. Dr. Osman Halit Çam — DijitalPi reference
  • Dr. Sümeyra Yılmaz Psikiyatrist — DijitalPi reference
  • Dr. Ahmed Altan — DijitalPi reference
  • Orya Park İstanbul — DijitalPi reference
  • FXCanlı — DijitalPi reference
  • Bilgelik Enstitüsü — DijitalPi reference
  • OVIA Innovative ATMs — DijitalPi reference
  • Hibboux — DijitalPi reference
  • Pomega — DijitalPi reference
  • Konu Bakery Display Cabinet — DijitalPi reference
  • SEÇ Market — DijitalPi reference
  • Enza Home — DijitalPi reference
  • Medipol Sağlık Grubu — DijitalPi reference
  • İstanbul Sağlık ve Sosyal Bilimler Meslek Yüksekokulu — DijitalPi reference
  • Jutesan Alüminyum — DijitalPi reference
  • GamerMarkt — DijitalPi reference
  • Sundreams Solarium İstanbul — DijitalPi reference
  • Istanbul Dental Center — DijitalPi reference
  • Allotex — DijitalPi reference
  • Prof. Dr. Şükrü Yazar — DijitalPi reference
  • Prof. Dr. Aylin Kılıç — DijitalPi reference
  • Kontrolmatik Technologies — DijitalPi reference
  • Op. Dr. Hacı Mehmet Saygı — DijitalPi reference
  • Doç. Dr. Elif Ceren Yeşilkaya — DijitalPi reference
  • Nova Osteo & Dent — DijitalPi reference
  • Doç. Dr. Murat Ekmez — DijitalPi reference
  • Circleboom — DijitalPi reference
  • Hijab Runway — DijitalPi reference
  • Mevsim Erdemir Gayrimenkul — DijitalPi reference
  • Dekoreko — DijitalPi reference
  • Sporterest — DijitalPi reference
  • Freya Home Halı — DijitalPi reference
  • Normgas Heating Systems — DijitalPi reference

Why does measurement accuracy matter in data analytics?

Data analytics examines website, advertising and customer records to support business decisions. Measures with the same name in different sources may count different actions. Form submissions, qualified enquiries and completed sales need separate assessment.

A change in a report may reflect customer behaviour or a change in the tracking setup. Our team reviews the periods being compared, goal definitions and data gaps. A well-organised report alone does not establish that the data is correct.

Your options for data analytics

  • An agency providing monthly reports: You receive regular summaries and specialist assessment. If tracking fixes and monitoring between reports are outside the scope, you need a separate owner for those tasks.
  • Your own team: You keep business knowledge and decisions in-house. Data connections, calculation checks and report preparation require time and expertise.
  • DijitalPi with RAPORMACHINE: The engine prepares period reports while our team handles measurement and interpretation. You provide data access, sales definitions and approval to share; results dependent on missing sources cannot be interpreted until those sources are available.

What does our data analytics service cover?

  • Measurement audit: Our team reviews GA4 and tag setups, missing events and double counting. We plan fixes within the Google Tag Manager setup scope.
  • Conversion tracking: Our team distinguishes form, call and sales goals. We assess offline conversion tracking needs for sales completed outside the website.
  • Combining sources: Our team aligns periods and definitions across advertising, website, CRM and email data. Fields with missing sources are marked in the report.
  • Reports and dashboards: RAPORMACHINE prepares period reports. Our team scopes Looker Studio or Power BI work separately when you need a live dashboard.
  • Channel contribution: Our team examines touchpoints before a sale and the attribution method. We assess the last click separately from other interactions.
  • Decisions and follow-up: Our team identifies the proposed action, its owner and the measure to track. We use page behaviour to inform conversion rate optimisation recommendations.

How do we handle privacy and compliance?

Our team defines user preferences, access permissions and reporting fields at the start of measurement design. Your legal adviser handles cookie and privacy notices and the legal assessment under KVKK, Turkey's personal data protection law. Our team plans the technical setup against the requirements you approve.

We review consent management and consent mode settings alongside any need for server-side tracking. Server-side setup is not used to bypass user preferences. We mark missing fields in aggregated reports; RAPORMACHINE does not estimate missing figures.

Our data analytics process

Needs and measurement audit

Our team reviews the decisions you need to make, your sales cycle and existing sources. We preserve working setups and list gaps and required access. Together we agree on implementation owners and the approval process.

Data preparation and reporting

Our team aligns data definitions and periods, and carries out the required integrations and dashboard work. RAPORMACHINE produces a report from the supplied data. Our team checks calculations and period differences, then adds interpretation; timing depends on access and setup needs.

Decisions and further measurement

In each review, we explain the proposed action and how its outcome will be measured. We assess completed work and observed changes together in the next period. We connect this assessment to advertising, SEO and page improvements within our AI-supported digital marketing approach; RAPORMACHINE itself does not use AI.

What should you check when choosing a data analytics service?

  • A sample report should identify the source, period, measure definition and status of missing data.
  • Account ownership, access permissions and report recipients should be agreed in writing.
  • Tracking fixes, interpretation and implementation of proposed actions should each have a clear owner.
  • Report findings should connect to a proposed action and subsequent measurement.
  • Dashboard setup, period reports and ongoing monitoring should have separately defined scopes.

FAQ

Frequently asked questions

Why can I not trust my GA4 data?

Duplicate events, missing conversion definitions, consent flows, internal traffic or reporting thresholds can cause discrepancies. Our team first examines the setup and how the data is generated. RAPORMACHINE does not automatically fix those setup problems when preparing reports.

Which tools do you work with?

Our team uses GA4, Google Tag Manager, Google and Meta advertising data, CRM, Looker Studio and Power BI as needed. RAPORMACHINE prepares reports from supplied period data. Our team handles setup and integration of these tools.

How often do I receive reports?

We agree on the reporting period and review frequency at the start. Monthly reports, interim reviews and live dashboards are scoped separately. Our team shares significant data issues it identifies through the agreed communication process.

Do you have to replace my existing measurement setup from scratch?

No, our team audits the existing setup first and preserves the parts that work correctly. If a rebuild is needed, we explain the reason, scope and required approval.

How does data analytics connect to my other marketing work?

Our team uses channel data in advertising decisions, search data in SEO priorities and page behaviour in conversion improvements. We define both the reason for each recommendation and how to track its outcome.

What is RAPORMACHINE?

RAPORMACHINE is the rule-based engine DijitalPi developed to prepare reports from period data. It does not use AI; the same input produces the same output. It calculates ratios from raw figures and marks missing data as “pending”.

Does RAPORMACHINE change my accounts or send reports itself?

In this service, RAPORMACHINE's role is to prepare report files from supplied data. Our team handles account setup and changes; our team also shares the report with your approval.

Who prepares the report and who approves it?

Our team prepares the data, and RAPORMACHINE handles calculations and layout. Our team performs the final review and interprets the findings. We discuss business decisions with you; you approve sharing.

Let us review your data infrastructure together

In a free introductory meeting, we can review your data sources, tracking issues and reporting needs together. You can request a meeting through our contact form or at info@dijitalpi.com.

DijitalPi's team has over 20 years of experience across 125 countries and 15 languages and received the Stevie Awards 2019 European award.

ASK AI ABOUT DIJITALPI

What does DijitalPi do?

Opens your chosen assistant with a ready research prompt. It reads the site live and answers.

ChatGPTClaudeGeminiGrokPerplexity
Message us on WhatsApp