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Post-merger integration dashboard: KPI logic, rollup rules and a live demo (feedback welcome)

AnalyticPulse — Fri, 23 Oct 2026 06:10:43 GMT

Hi everyone,

I’ve built a post-merger integration (PMI) executive dashboard as a live web demo(HTML), and I’d like feedback from this community, especially on the measure logic, which carries over directly to a Power BI or Fabric model.

Live demo: https://www.docynx.com/dashboard/pmi-dashboard

(Illustrative sample data only. Change a status, resolve a blocker or move the reporting date and everything recalculates.)

What it covers

Executive view: initiative counts, annual opportunity, secured benefits, verified YTD realized, and on track / at risk / blocked counts

Stream health: worst-status-wins rollup (Blocked > At risk > On track), with defined fallbacks for streams with no active work

Management attention: an escalation queue sorted by overdue first, then priority, then needed-by date, then ID

Financial benefits: annual recurring value, one-off amounts and YTD actuals kept strictly separate

Decisions & blockers: age bands, overdue flags and average days open

Data checks: duplicate IDs, orphan links, completed items with no completion date and stale reviews are flagged instead of silently ignored

Modelling decisions I’d like opinions on

Benefits: opportunity and secured are never added together, since secured is part of opportunity. Realized YTD comes only from verified, dated actuals and is never derived from status or secured values.

At-risk exposure: each recurring benefit is counted once when its linked initiative is At risk or Blocked, however many blockers are open against it.

Reporting date: one central date drives YTD cut-off, overdue logic, milestone eligibility and age. Changing it does not pretend to restore historical status.

Cancelled initiatives: they drop out of opportunity, secured and exposure, but their verified actuals stay in YTD unless Finance records a reversal.

Other links:
Free Sample Data Generator • Create Realistic Mock Data Instantly
Free XML Sitemap Generator Online – Advanced SEO Sitemap Tool
Convert Image to Base64 Text Online Free For PowerBI Image embedding without Storing image on Server | PNG, JPG to Base64 Encoder

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Still Haunted: The Fears That Grew Up With Us

Jai-Rathinavel — Thu, 22 Oct 2026 06:55:12 GMT

The monsters didn’t leave, they changed shape.

What scared us as children? And what keeps us awake now? 105 people from 28 countries answered both questions in the Halloween survey. Still Haunted turns their answers into an animated A4 horror poster in Power BI.

What the data reveals

Supernatural fears are buried: fears of the dark, unknown and supernatural fell 71% from childhood to adulthood. Not one adult still fears demons or basements.
Real life is scarier: fears about the future and success grew from 10% to 40% of people. Financial insecurity went from no one as children to 11 people as adults.
War is the #1 adult fear, picked by 19%.
43% are still haunted by at least one childhood fear, and snakes are the most loyal fear: 55% of people who feared them as children still do.
Time heals, slowly: 51% of 25–34-year-olds are still haunted, compared with 12% of people aged 55–64.
Her vs his: women went from demons to war; men went from heights to an uncertain future.

The experience

The page opens with blood oozing down from the top edge. Four tombstones show the headline numbers above a grid of charts: a slope chart of fear categories, top-5 fears then vs now, faded vs grown fears, haunting by age and gender, and the top fear on each continent. Every few seconds the lights flicker, and in the darkness a bleeding girl is glimpsed, a little closer each time.

How it’s built

Every chart and number is generated by DAX as SVG inside the HTML Content visual, so the poster stays fully data-driven. The animation uses CSS only. The page is split into seven stacked layers so that each stays within Power BI’s 32,766-character text limit. Every figure was validated against the source data and with independent DAX queries.

The life we fear never living

rampie — Thu, 22 Oct 2026 06:42:18 GMT

“The life we fear never living” is a one-page Power BI story exploring how uncertainty, not feeling good enough, and fear of wasted potential become more common from childhood to adulthood. The report moves from a shared pattern to individual fears, then closes with a reflection through existential nihilism and Stoicism—connecting the numbers with questions of meaning, choice, and how we want to live today.

The Monsters Grew Up | What Keeps You Up At Night | Shafi Ullah

ShafiUllah-bc — Thu, 22 Oct 2026 12:15:10 GMT

As kids we were scared of ghosts and the dark. As adults it's deadlines and money. I wanted to see how true that is, so I built this one-pager around a simple question: what happened to our childhood monsters?

What the data says (105 respondents):
• Supernatural fears drop from 48 to 14 once people grow up.
• Performance fears jump from 11 to 42. The monsters didn't leave, they got jobs.
• 45 people still carry at least one fear from childhood.
• War goes from 5 mentions as kids to 20 now.

Built in Power BI with HTML Content cards and Deneb visuals, keyboard-friendly navigation and WCAG AA contrast. And yes, there's a button that says DO NOT CLICK. 🎃

Live report: https://app.powerbi.com/view?r=eyJrIjoiY2FkNDg2ZWEtMjM5Zi00NjdjLWI3MTQtYWYwZjY2YjY1NzgxIiwidCI6ImViMzM4MTM3LWVlODYtNGZhMC1hMWVkLThhMjU2MGFiMDE3NiIsImMiOjl9

The monsters grew up. Here is what happened to them.

Lucrecia_krause — Thu, 22 Oct 2026 03:45:15 GMT

We asked 105 people from the data community what scared them as children and what scares them today. Between them they named 285 childhood fears and 264 fears today. Almost the whole cast changed.

1 · THE MONSTERS MOVED OUT

Supernatural fears collapsed. The dark, ghosts, demons, basements, cemeteries and the unknown went from 69 picks to 15, a drop of 78%. The biggest exits were The dark (11 → 2), Demons/the devil (9 → 0), Heights (13 → 5). Nobody who feared the dark, demons/the devil, basements / attics, ghosts as a child still does. Of those 69 supernatural picks, only 3 survived into adulthood.

2 · GROWN-UP DREAD MOVED IN

Fears about performance and the future grew ×4.4 (12 → 53 picks). The biggest arrivals were War (5 → 19), Financial insecurity/poverty (0 → 11), Uncertainty about the future (4 → 14). The most named fear today is War: 19 people, up from 5 as children. In childhood the top fear was Being trapped / small spaces (14).

3 · SOME FEARS NEVER LEFT

45 of 105 people (43%) still carry at least one fear from childhood. The most loyal: Snakes (6 of 11), War (5 of 5), Being trapped / small spaces (5 of 14). Snakes and tight spaces hold on; ghosts do not.

4 · WHO IS HAUNTED BY WHAT

Where people live. Respondents live in 30+ countries; 10 have 5 or more people. Among those, Canada carries the most fears (2.9 per person) and Spain the fewest (1.6). The largest group, Netherlands (16 people), sits at 2.1. War is a European fear: 24% of people living in Europe name it, against 0% in North America. The map below shows where everyone lives.

Age. Fears fade with age: 2.5 per person at 25–34, 1.3 at 55–64. People aged 25–34 fear War most, while 3 of 8 aged 55–64 picked none of the listed fears.

Gender. Women (41) are far more likely than men (62) to fear illness and death: 41% against 23%. Fear of the future is level: 41% against 40%.

5 · THE MONSTER THAT FOLLOWED THEM TO WORK

Asked for their worst data nightmare, people chose arrives a mess (23), too many versions (19), doesn't add up (17). Least feared: spotted too late (2). In other words, 19 people believe there is more than one single source of truth. A whisper from the crypt: the 8 people most afraid that AI gets it wrong use 4.6 Fabric tools on average; everyone else uses 8.3. Only 8 people, so treat it as a whisper, not a law: the AI's biggest skeptics use the fewest tools.

THE MORAL

We stopped checking under the bed. Now we worry about jobs, the future, war and health.

About this data: answers are self-reported by 105 people who chose to take part, so they describe this group, not everyone. People could pick up to three fears per life stage, so fear counts are picks, not people, unless stated. Groups with fewer than 5 people are not compared. Fear types use the starter model's survey categories; data nightmares are counted from the survey file.

Little Ghosts

Little-Wolf — Wed, 21 Oct 2026 22:25:09 GMT

Because sometimes you get an idea in your head and just have to try, the day before hand in. ...... ... . . .

Also, If anyone knows how to make text curve in Power BI I would be interested to know.

SURVEY RESPONSE DASHBOARD Respondent Demographics & Global Representation

PavanKalyan5403 — Wed, 21 Oct 2026 22:10:09 GMT

Survey Response Dashboard – Respondent Demographics & Global Representation

This Power BI project explores survey responses to understand respondent demographics and global representation. The dashboard presents key insights through visualizations, including total responses, country representation, age-group distribution, gender distribution, and the top 10 countries by survey responses.

The objective is to transform the survey data into an interactive and visually engaging dashboard that makes demographic patterns and response distributions easier to understand.

Tools Used: Microsoft Power BI

Key Areas of Analysis:

- Total survey responses

- Country representation

- Age-group distribution

- Gender distribution

- Top 10 countries by survey responses

The dashboard uses a Halloween-inspired theme to create a distinctive visual presentation while keeping the information accessible and easy to interpret.

Acknowledgment:

Special thanks to Sahir_Maharaj for his mentorship and guidance in my data analytics learning journey. His encouragement to explore Power BI projects has motivated me to continue developing my data visualization and analytical skills.

I look forward to learning more and building impactful data-driven projects.

We stop fearing the dark but we start fearing tomorrow

vanii_bel — Wed, 21 Oct 2026 21:10:08 GMT

The idea:

Fear doesn’t disappear, it grows up. I asked the survey one question: what scared 105 people as children, and what scares them now? The poster tells it in three acts, on a single A4 portrait page.

How to read it:

Read the poster top to bottom, like a story in three acts with a bridge in the middle.

Act I · The child’s night. It starts with how we remember childhood. Children feared what they could picture: small spaces, heights, snakes, the dark. The #1 fear as a child was being trapped / small spaces (14 people, 13%).

Act II · The adult’s night. Adults fear what they can’t see coming: war, the future, money. The #1 fear now is war (20 people, 19%). Hover over the two big numbers to see the top 5 fears of each age.

The bridge · Where fear moved. This is the chart that connects both acts. Each row is a fear family:

🔵 Blue dot = as a child. 🟠 Amber dot = now.
The line and arrow show the direction of the change.
pp = percentage points (now − as a child).
Use the By category / By fear (top 8) button to zoom from 8 families to the 8 biggest individual fears.

Act III · What never left. After the movement, the poster looks at what stayed. 45 of 105 people (43%) name the same specific fear as a child and now. Below it, the fears that faded away and the ones that arrived with adulthood.

The Geography of Fear: How Relocation Rewires Our Deepest Anxieties

Abubakr56 — Wed, 21 Oct 2026 20:18:57 GMT

Sometimes what wef ear is a matter of our location. Analyzing the survey responses reveals a profound psychological divide based on human mobility. Migration forces the mind outward, causing those who leave home to fixate on external threats like global conflict and financial ruin. Staying rooted turns the mind inward, where individuals become consumed by the dread of unfulfilled potential. We all outgrow our childhood shadows, but our geographic choices dictate what haunts us as adults.

From Bedtime Monsters to Broken Pipelines

srbhdix — Wed, 21 Oct 2026 20:15:30 GMT

What Keeps Us Up at Night? How fears change from childhood to adulthood

Olufemi7 — Wed, 21 Oct 2026 18:55:35 GMT

Growing up doesn’t make fear disappear. It changes what we’re afraid of. Findings describe the 105 survey respondents, not the wider population. Top fears per chart, ties included.

The Boogeyman Was Entry-Level

Melinoe — Wed, 21 Oct 2026 19:00:08 GMT

At seven, the monster lived under the bed. As an adult, it has a calendar invite, a deadline, and access to Excel.

Welcome to adulthood. The difficulty setting has changed, but apparently, the monsters never handed in their resignation.

The Boogeyman Was Entry-Level takes 105 survey respondents on a haunted journey from childhood nightmares to grown-up anxieties.

And the data reveals a rather inconvenient truth: 45 out of 105 respondents (42.9%) still carry at least one of their childhood fears into adulthood.

Some fears disappear. Others change shape. Some simply get promoted.

This single-page A4 Power BI experience brings that story to life through custom Deneb visualizations, atmospheric animations, interactive case-file tooltips, and a mysterious Fear Exchange connecting the two chapters of life.

And because every good horror story needs a final boss, there's one last nightmare waiting for us: the data itself. Messy inputs, mysterious totals, broken pipelines, and AI overconfidence. Terrifyingly familiar, isn't it?

Using the provided contest dataset, the report combines visual storytelling with data-driven insights. Its core findings remain visible without interaction, while optional tooltips and motion controls invite the curious to explore further.

The verdict?

We didn't outgrow our monsters.

We just gave them job titles. 👻

Boo

JessicaR — Wed, 21 Oct 2026 18:56:28 GMT

Enjoy exploring the witch's lair...
Read the map, see what her potions hold and more.

We don't stop beign afraid, we change what we fear

MariuszGasior — Wed, 21 Oct 2026 18:57:43 GMT

Painel Executivo de Estoque, Previsão & Reposição | Power BI + DAX + SAP HANA

borges21 — Wed, 21 Oct 2026 18:41:25 GMT

Compartilho um painel de gestão de estoque para redes de lojas e centros de distribuição. Ele vai além do "quanto tenho em estoque" e responde o que vai faltar, o que comprar hoje e em quem confiar para entregar.

São 7 páginas com navegação em abas, no estilo de uma página web:

1. Visão Geral do Estoque — Como está o estoque no período?

Valor e quantidade em estoque, cobertura média em dias, giro, itens sem giro há mais de 90 dias, estoque

obsoleto, excesso acima da cobertura-alvo e concentração nos 10 maiores itens. Evolução mensal de estoque ×

cobertura, entradas × saídas, faixas de cobertura e um bloco de **alertas automáticos em texto** que aponta

excesso, risco de ruptura e por onde começar a liberar capital.

2. Análise por Item — detalhe por produto e depósito, com movimentos, saldo líquido e drill até o lançamento.

3. Plano de Ação — lista priorizada do que fazer com cada item: repor, segurar compra ou liquidar o excesso.

4. Retorno do Estoque — GMROI, margem bruta, custo de carregamento mensal e quanto o excesso custa por mês,

com custo de capital ajustável.

5. Previsão de Estoque — O que vai faltar nas próximas semanas?

Itens que acabam em até 30 dias, venda em risco em R$, pedidos de compra em aberto e atrasados, e o estoque

projetado semana a semana pelas próximas 12 semanas considerando só os pedidos já feitos. A tabela mostra,

item a item, se o pedido resolve, chega tarde ou se não há pedido.

6. Fornecedores — % de entregas no prazo, lead time real × prometido, atraso médio e classificação

(Confiável / Atenção / Crítico), cruzando o desempenho do fornecedor com os itens que estão faltando.

7. Ponto de Pedido — O que comprar hoje — e quanto?

Estoque de segurança calculado pela variabilidade da demanda **e** do lead time

(`Z · √(LT·σd² + d²·σLT²)`), com o nível de serviço escolhido em botões (90%, 95%, 98%, 99%).

Mostra ponto de pedido, posição de estoque e a sugestão de compra por item e depósito, além do estoque de

segurança em dias de venda por fornecedor.

Destaques técnicos

- Botão Valor (R$) / Quantidade (un) que troca todas as medidas da página.

- Cobertura-alvo e custo de capital como parâmetros what-if.

- Cards e alertas com texto e cor dinâmicos (DAX).

- Modelo estrela documentado: todas as medidas, colunas e relacionamentos com descrição.

- Pronto para SAP Business One e S/4HANA via views no HANA (movimentos, pedidos de compra, recebimentos e fornecedores).

*Dados fictícios, usados só para demonstração.*

The Monsters Grew Up

FarhanJeelani — Wed, 21 Oct 2026 17:15:04 GMT

The ghosts moved out. Money, war and an uncertain future moved in.

Spiders, ghosts and the dark ruled our childhood nightmares, but did they follow us into adulthood? This A4 poster follows 105 members of the data community from the fears they remember having as kids to the fears they pick today.

The main finding is a migration. Supernatural and dark fears fell from 46% of respondents to 13%. Only 3 of 69 childhood picks in that group survived, and demons, basements, cemeteries, clowns, dolls and aliens all dropped to zero. Their place was taken by grown-up monsters. Fears about work and the future went from 10% to 40%: financial insecurity rose from 0 to 11 people and uncertainty about the future from 4 to 14. Separation and loss fears doubled, driven by war.

The poster tells the story in three steps:

The Great Fear Migration: a slope chart of how each family of fears changed between childhood and today.
What we outgrew and what moved in: the fears people picked at only one life stage.
The ones that never left: how many people kept each of the top childhood fears. Snakes are the most persistent monster (6 of 11 kept), the dark let go completely (0 of 11), and war kept every one of its childhood followers (5 of 5).

Fears Don’t Disappear, They Change

Sweety_Antoni_D — Wed, 21 Oct 2026 15:20:09 GMT

What it does

I wanted to create a movie like storytelling experience in Power BI, where users can explore how fears change from childhood to adulthood through interactive scenes.

This interactive story follows 105 people as their fears evolve over time. Each person icon represents an individual, showing whether a fear persisted from childhood, was outgrown, or newly appeared in adulthood. Together, the visuals reveal which fears stick and which fade.

Key findings

1 in 5 childhood fears survived into adulthood (56 of 285).
43% of people still carry at least one childhood fear (45 of 105).
208 brand new fears emerged in adulthood.

Interaction and functionality

I want to explore slicers and interactive navigation to move between the Overview, individual fear scenes, and the final swap view. The Play and Pause controls should support the storytelling experience, allowing users to explore each scene at their own pace.

The goal is to combine data storytelling, meaningful statistics, and cinematic visual design to make the findings engaging, intuitive, and easy to explore.

We Pulled Off the Masks. The Monsters Were Worries All Along

kenny_balogun — Wed, 21 Oct 2026 14:45:12 GMT

Mystery Inc. Case File 2026: 105 suspects, one question: what keeps the data community up at night?

Every Scooby-Doo episode ends with an unmasking: the monster was never really a monster. I built this report around that moment. 105 people from the data community told us what scared them as kids and what scares them now. When you unmask their answers, the creatures of childhood turn into the worries of adulthood.

The case As kids, 62% of the fears people named could bite, sting or haunt them. Today, 52% of the fears they name have no body at all.

The evidence

Where all 105 went: each line is one person, running from their childhood lane to their lane today. 69 people were chased mostly by creatures as kids; only 24 are now. 28 swapped creatures for worries, and just 2 went the other way.
The clue board: red threads link childhood fears to grown-up ones. The dark, snakes and being trapped gave way to war (now 20 people), an uncertain future and money. Nobody feared financial insecurity as a kid; 11 do now.
Some ghosts never leave: 45 people still carry at least one childhood fear.
The line-up: there's one suspect for each way a fear life changed. Each mask shows what they feared as a kid, and each badge shows what they fear now.

Case closed The monsters didn't win. They got swapped for things you can't lock out: the future, money, and the people we could lose.

Solve your own mystery Pick a case number and the whole page follows that person. Their route lights up, and the case card shows what they feared then, what they fear now and how many people share their story.

How it's built One A4 landscape page, using only the provided data. Every chart is an SVG drawn by a DAX measure. The art is original and inspired by Scooby-Doo, and the fonts are embedded so the page looks the same everywhere. Short animations play once when the page loads and finish within 5 seconds. A small custom visual adds a cartoon-chase soundtrack synthesized live in the browser, with no audio files.

Accessibility Text meets WCAG AA contrast, and labels carry the meaning alongside colour. Every visual has alt text that states its insight. Sound can be switched off with a keyboard-accessible button.

Assumptions: 105 self-reported answers, not a representative sample. People named up to 3 fears per life stage, and each person is grouped by what most of their own answers were.

The Fear-Keeper's Tarot: We don't outgrow fear, we trade it

Rumana — Wed, 21 Oct 2026 12:35:43 GMT

Only 3 of 105 people kept exactly the same fears from childhood to today, so we don't outgrow fear, we trade it. What survives is the physical stuff: 26% of childhood fears of physical dangers live on (snakes: 6 of 11), but only 4% of dark and supernatural ones (3 of 69). The 48 people who feared ghosts and the dark as kids now fear war, the future, nuclear disaster and death. Five tarot cards sort everyone by what they kept, from The Keeper (9) to The Changeling (35), who swapped every childhood fear for three new ones.

Built only from the provided survey: one A4 page, live DAX measures, alt text on every visual, a tab order that follows the story, and labels so colour is never the only cue. Self-reported data from 105 people, not representative.

New Fears. Familiar Shadows.

VenuBollineni — Wed, 21 Oct 2026 09:50:10 GMT

Does growing up remove our fears, or change the list?

In this survey of 105 people, 78% of named current fear selections were not also selected by the same person for childhood. Yet 45 people carried at least one fear across both life stages. War and uncertainty about the future lead today's list; financial insecurity appears in 11 current responses and no childhood responses.

The A4 poster separates new and retained selections in native stacked bars, then shows examples of childhood fears with no current selections. Its central conclusion is deliberately modest: the fear list changes, but that does not mean fear disappears.

Built using only the official contest dataset and starter model, with AI-assisted analysis and report design. Exact-label, within-person comparisons; no external data or altered source values. Non-fear responses are excluded from named-fear calculations. Multiple selections were allowed. These retrospective, self-selected responses describe the participants, not the wider population.

Accessibility: direct numeric labels, left/right segment descriptions in addition to colour, insight-based alt text, and an ordered visual reading sequence.