Ian  Robinson

Ian Robinson

1623813810

Filtering Data to Deliver Improved Data-Driven Decisions

Data cleansing or scrubbing is a form of data management. Although over the years, businesses accumulate a lot of personal information; ultimately, information becomes outdated. For instance, more than ten years one may change address or name, and then change the address again.

Data cleansingt is a process in which you go through all of the data within a database. And you require removing or updating information that is incomplete, improperly formatted, duplicated, or irrelevant. It typically involves cleaning up data compiled in one area. While data cleansing involves deleting information, it is focused more on updating, correcting, and consolidating data to make sure your system is effective as possible.

The data cleansing process is generally done at once; however, it can take a while if the information has been piling up for years. That’s the reason why it’s essential to perform data cleansing regularly.

#big data #data management #latest news #filtering data to deliver improved data-driven decisions #filtering data #data-driven decisions

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Filtering Data to Deliver Improved Data-Driven Decisions
Ian  Robinson

Ian Robinson

1623813810

Filtering Data to Deliver Improved Data-Driven Decisions

Data cleansing or scrubbing is a form of data management. Although over the years, businesses accumulate a lot of personal information; ultimately, information becomes outdated. For instance, more than ten years one may change address or name, and then change the address again.

Data cleansingt is a process in which you go through all of the data within a database. And you require removing or updating information that is incomplete, improperly formatted, duplicated, or irrelevant. It typically involves cleaning up data compiled in one area. While data cleansing involves deleting information, it is focused more on updating, correcting, and consolidating data to make sure your system is effective as possible.

The data cleansing process is generally done at once; however, it can take a while if the information has been piling up for years. That’s the reason why it’s essential to perform data cleansing regularly.

#big data #data management #latest news #filtering data to deliver improved data-driven decisions #filtering data #data-driven decisions

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

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

Gerhard  Brink

Gerhard Brink

1622611140

83% Of Data-Driven Organisations Gained Critical Business Advantages During Pandemic

Tableau Software has announced a new study developed in conjunction with YouGov, to explore how organisations in the Asia Pacific and Japan (APJ) have used data during COVID pandemic. The survey noted that data-driven companies in India are more resilient and confident during the pandemic, compared to non-data-driven companies.

According to the data, 83% of data-driven companies in India have reported reaping critical business advantages during the pandemic. Along with that, the survey revealed that 62% of organisations believe that leveraging data can provide multiple and vast benefits to businesses, including more effective communication with stakeholders. Another 58% organisation noted making faster strategic business decisions with 56% witnessing increasing cross-team collaboration. Further, the data stated that 48% of organisations have managed to make their business more agile.

Being data-driven is also allowing organisations to be more optimistic towards this turbulent time. The survey stated that around 76% of organisations are confident and looking forward to a promising future for their business.

While data-driven companies are reaping its benefits, the non-data-driven companies are facing massive challenges in grasping the importance of data. This demonstrates the prevailing disconnect of how businesses leveraging data and the potential for organisations to benefit from a more data-driven approach.

#news #data advantages #data driven companies #data driven decisions india #data driven organisation #data driven organisations gained advantage amid pandemic

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