Bhakti Rane

1625218083

Find Nearby Dynamics CRM data on Map | Radius Search | Maplytics

Proximity or Radius Search

Proximity or Radius Search improves an organization’s locational awareness of nearby CRM records. Businesses across verticals use Radius Search to gain enhanced insights about their nearby customers, prospects, and competitors with powerful map visualizations within Dynamics 365 CRM.

Radius search allows filtering records within a given Proximity/Radius around current location. Users can locate nearby customers on a map based on time/travel and view the shortest travel distance along with line of sight distance using this feature. Also, users can perform concentric proximity searches from the current location for relative analysis of Dynamics CRM data.

#save travel time map dynamics 365 #radius search microsoft dynamics 365 #radius search ms dynamics 365 #radius search dynamics crm #proximity search map dynamics 365

What is GEEK

Buddha Community

Bhakti Rane

1625218083

Find Nearby Dynamics CRM data on Map | Radius Search | Maplytics

Proximity or Radius Search

Proximity or Radius Search improves an organization’s locational awareness of nearby CRM records. Businesses across verticals use Radius Search to gain enhanced insights about their nearby customers, prospects, and competitors with powerful map visualizations within Dynamics 365 CRM.

Radius search allows filtering records within a given Proximity/Radius around current location. Users can locate nearby customers on a map based on time/travel and view the shortest travel distance along with line of sight distance using this feature. Also, users can perform concentric proximity searches from the current location for relative analysis of Dynamics CRM data.

#save travel time map dynamics 365 #radius search microsoft dynamics 365 #radius search ms dynamics 365 #radius search dynamics crm #proximity search map dynamics 365

Bhakti Rane

1625223449

Dynamics 365 CRM Maps | Bing Maps and Dynamics 365 CRM Integration

Dynamics 365 CRM map

Maplytics™ is now one of the first map visualization app to be certified for Microsoft Dynamics (CfMD), which indicates that the solution has met Microsoft Corp.’s highest standard for partner-developed software. Maplytics is geospatial mapping app that seamlessly integrates Bing Maps with Microsoft Dynamics 365 to visualize Dynamics CRM/365 data on a map and improve business processes and engage right customers at the right time. It supports Dataverse/PowerApps for Citizen Developers to Map Dynamics CRM data.

#dynamics 365 map #dynamics crm maps #map microsoft dynamics 365 #map dynamics crm

Bhakti Rane

1625482158

Heat Maps in Dynamics 365 CRM | Regional sales Analysis | Map Data Analytics

#Heat Map Visualization in Dynamics 365 CRM

Maplytics integrates Dynamic 365 CRM with Bing Maps opening up vast opportunity for the Dynamics CRM users, peers and Partners to analyze graphic data using Heat Map. Heat Map brings forth comparative study of records by studying their density over a region. You can also visualize Heat map within Dynamics 365 CRM in context to boundary, no-boundary, Pie-chart and Column-chart.

#heat maps in dynamics 365 #heat map dynamics crm #sales heat map dynamics 365 #heatmap analytics dynamics 365 #map dynamics 365 data analysis

Siphiwe  Nair

Siphiwe Nair

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

Gerhard  Brink

Gerhard Brink

1620629020

Getting Started With Data Lakes

Frameworks for Efficient Enterprise Analytics

The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.

This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.

Introduction

As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).


This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.

#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management