Ruwe gegevens omzetten in waardevolle inzichten met behulp van datavisualisatie

Ruwe gegevens omzetten in waardevolle inzichten met behulp van datavisualisatie



Datavisualisatie is een belangrijke functie bij analytics. U zou datavisualisatie kunnen beschrijven als het proces waarin gegevens worden omgezet in waardevolle inzichten. Wat betekent dit voor bedrijven? Allereerste wordt het makkelijker om trends, patronen en afwijkingen (vroegtijdig) te ontdekken. Doordat complexe datasets inzichtelijker worden, moedigt dit de kwaliteitsvolle besluitvorming binnen organisaties ook (verder) aan.

In deze blog gaan we dieper in op hoe gegevens het ondernemen van acties kunnen stimuleren door best practices te delen voor het maken van overtuigende datavisualisaties met behulp van moderne BI-mogelijkheden.

Vorm en functie

Om indrukwekkende datavisualisaties te maken, is het belangrijk om een balans te vinden tussen vorm en functie. Hier zijn vier best practices die je helpen deze balans te vinden:

1. Ken je publiek

Om datavisualisaties zeer effectief in te kunnen zetten, is het belangrijk dat ze emotioneel en intellectueel resoneren met het doelpubliek. Daarom is het cruciaal om je publiek te begrijpen. De bedrijfsrollen van gebruikers en hun rolspecifieke behoeften en uitdagingen bepalen de waarheidsgetrouwheid en diepgang van inzichten die voor hen relevant zijn. Moderne BI-platforms stellen dit in staat door middel van collaboratieve analyses die actuele gebruikersspecifieke inzichten leveren. BI-platforms bieden ook toegankelijkheidsopties, zoals contrasterende kleuren en patronen, om te voldoen aan de specifieke behoeften van het publiek. Bekijk de afbeeldingen hieronder voor een voorbeeld van deze functie in actie. 


2. Verwerken van verschillende gegevensformaten

In de wereld van vandaag verzamelen bedrijven gegevens uit verschillende bronnen. Gelukkig zijn BI-platforms uitgerust om deze veelheid aan gegevensformaten te verwerken. Met ondersteuning voor onder andere tekstuele, ruimtelijke en temporele gegevens bieden deze platforms een breed spectrum aan grafiektypen en visualisatieopties om gegevens in alle formaten te benutten en de verschillende facetten van inzichten te belichten. 

In de afbeelding hieronder hebben we een sankey-grafiek onderzocht. Deze visualisatie geeft effectief gegevensstromen weer en helpt bij het identificeren van knelpunten en het optimaliseren van workflows. Het volgende voorbeeld toont de volgorde van de meest voorkomende acties die worden uitgevoerd tijdens de websitebezoeken van een bepaald bedrijf.



Bekijk ons (Engelstalige) opgenomen webinar over datavisualisatie om hier meer over te leren. 

3. Interactiviteit inbouwen

Interactieve mogelijkheden in datavisualisatie stellen gebruikers in staat om meer inzichten in realtime te ontdekken, waardoor ad-hocanalyses eenvoudiger worden. Functies zoals drill-down, filteren en sorteren verbeteren de gebruikerservaring en besparen tijd bij het maken van nieuwe rapporten. Doordat interactieve visualisaties gebruikers toelaten om gegevens op hun eigen voorwaarden te verkennen, stimuleert dit een dieper begrip van de gepresenteerde inzichten. 

In de volgende demonstratievideo voeren we een ad-hocanalyse uit en verkennen we diepere inzichten in een maandelijks rapport over verkooptrends, waarbij we gebruikmaken van de besproken interactieve mogelijkheden.



4. Zakelijke richtlijnen naleven

Alle bedrijven volgen richtlijnen voor zowel de esthetische als functionele aspecten van datavisualisaties, waaronder het naleven van merkrichtlijnen voor visuele consistentie en het implementeren van beleid voor 'data governance' om het gebruik van data te reguleren. BI-platforms bieden aanpasbare lettertype- en kleuropmaak voor merkconsistentie, evenals gedetailleerde toegangscontroles voor 'data governance'. Bekijk de onderstaande demonstratievideo om de aanpassingsmogelijkheden in moderne BI-platforms te verkennen.



AI en Datavisualisatie

AI heeft de manier waarop bedrijven datavisualisatie benaderen fundamenteel veranderd. Rapporten maken is nu bijvoorbeeld mogelijk met behulp van prompts in alledaagse taal. Het platform identificeert ook op intelligente wijze het geschikste grafiektype om een bepaald inzicht in te presenteren. In de onderstaande demonstratievideo verkennen we 'Ask Zia', de intelligente AI-assistent van Zoho Analytics, waarmee je rapporten kunt genereren en met je gegevens kunt communiceren in je eigen taal.

Gebruik de kracht van datavisualisatie

Effectieve datavisualisatie is essentieel voor bedrijven om waardevolle inzichten af te leiden uit ruwe data. Door de in deze blog besproken best practices toe te passen en gebruik te maken van de belangrijkste AI-mogelijkheden, kunnen organisaties betere beslissingen nemen op basis van gevisualiseerde gegevens. De toekomst van datavisualisatie gaat in de richting van geavanceerde AI-integratie, interactieve functies en dynamische visualisaties, waardoor organisaties waardevolle inzichten kunnen verkrijgen en bedrijfsgroei kunnen stimuleren.

Bekijk ons (Engelstalige) opgenomen webinar over datavisualisatie om deze onderwerpen verder te verkennen.

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