Uriah  Dietrich

Uriah Dietrich

1618521240

Only Data-Minded Marketers and Market-Minded Developers Can Achieve Data Driven Marketing

Using data as a part of your marketing plan can have a tremendous impact on your overall results, which is why data-driven marketing has become the standard for many agencies.

However, data-driven marketing may require many businesses to rethink the way they work, especially when it comes to cooperation between their various teams.

You may have heard about the concept of collaboration and automating processes before - something referred to as webops. Now an increasing number of companies are throwing marketing into the mix.

Among the most important factors is a close working relationship between marketing and web development teams if a business wants to make the most of data-driven marketing.

#data-driven #data-driven-marketing #web-development #marketing-data-science #teamwork #data-driven-development #data-driven-decision-making #webops

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Only Data-Minded Marketers and Market-Minded Developers Can Achieve Data Driven Marketing
Uriah  Dietrich

Uriah Dietrich

1618521240

Only Data-Minded Marketers and Market-Minded Developers Can Achieve Data Driven Marketing

Using data as a part of your marketing plan can have a tremendous impact on your overall results, which is why data-driven marketing has become the standard for many agencies.

However, data-driven marketing may require many businesses to rethink the way they work, especially when it comes to cooperation between their various teams.

You may have heard about the concept of collaboration and automating processes before - something referred to as webops. Now an increasing number of companies are throwing marketing into the mix.

Among the most important factors is a close working relationship between marketing and web development teams if a business wants to make the most of data-driven marketing.

#data-driven #data-driven-marketing #web-development #marketing-data-science #teamwork #data-driven-development #data-driven-decision-making #webops

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

Aketch  Rachel

Aketch Rachel

1625009100

Data Is The New Marketing Currency

Brands today are differentiated by how well they know their customers and craft campaigns that are intuitive and useful for the end-customer. Data does exactly that and enhances the efficacy of marketing campaigns. Data-led insights give us the liberty to investigate the diversity of user behaviour and understand our customer base more intimately. The barrage of data created online every day is amplifying at a magnificent rate. The lack of an effective tool can confound marketers and even diminish the data’s utility because of failed attempts to integrate the widespread information.

Sitting on a deluge of fragmented, disconnected data pointers is counterproductive to growth. Marketers are losing sleep trying to figure out ways to help their businesses create a single source of truth. The solution is to decentralize data silos, make them accessible to multiple business users and enable marketing teams to create engaging marketing campaigns.

The need for an intelligent CDP is urgent

The rise of Customer Data platforms has been sharp, thanks to modern marketing solutions that rely heavily on data-driven campaigns. A CDP acts as a singular storefront for data residing on multiple fronts (CRM, legacy marketing solutions, analytics platform, DMP). CDP pools customer data into one place for marketers to get a 360-degree view at any given point in time. This helps marketing and product teams rely on a single source of truth for understanding consumer behaviour.

There are several solutions out there that will help you assimilate your data to create a data warehouse, data lake, or similar sounding fancy names. But, this isn’t enough to help you scale your marketing and engagement efforts. A CDP is essentially incomplete without the ability to govern data, create dynamic segments and use this data seamlessly in campaigns, and lastly, creating up-to-date profiles for users: known and unknown.

An efficient CDP will facilitate data mobility, pull data from multiple sources and send it to other platforms. The consolidation of user-profiles will help track the whereabouts of known and unknown users. Marketers then will be able to act on this and design a relevant communication strategy for the users.

All the data is then used intelligently to create small customer segments, which is leveraged across omnichannel campaigns. This allows marketers to deep dive into multiple use cases in a customer lifecycle. Context is King! This adage summarizes the final step, insights. The incredible insights from intelligent campaigns contribute to faster decision-making and carve out marketers’ next steps.

#opinions #data for marketers #data for marketing #marketers #marketing #data

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

Cyrus  Kreiger

Cyrus Kreiger

1618032240

Future of Marketing: How Data Science Predicts Consumer Behavior

The outbreak of COVID-19 has shaken every industry thereby influenced the preferences and priorities of consumers. During the pandemic, those business models who adapted to the change survived while others got lost in the thin air. Gradually, as the post-pandemic phase arrived, one thing that helped marketers predict their consumer behavior was Data Science

#data-science #consumer-behavior #marketing #big-data #data #data-analysis #data-visualization #data-analytics