WHY DATA CONNECTIVITY HAS BECOME A STRATEGIC BUSINESS PRIORITY

April 8, 2019

In an era of increasing uncertainty, volatility and a constantly changing economy, businesses are under enormous pressures on many fronts. They have to comply with heightened regulatory, privacy and industry standards. And there’s mounting pressure to achieve profitability, meet shareholder expectations and innovate faster to ward off the competition. To combat these pressures, companies of all sizes must rely on consistent, accurate and reliable data to govern their business. While all companies have data, few are truly treating data as a strategic asset. So it’s no surprise that the demand for data access and data integration initiatives is skyrocketing – but with it comes more confusion.

Spotlight

Soosto

We weave big-data analytics and predictive modeling into advanced software platforms to help our clients boost their key financial metrics on the e-commerce and marketing channels. We take advantage of the latest methods in the fields of Artificial Intelligence and Machine Learning to drive increases in customer satisfaction, conversions, revenue and other critical domain-specific objectives. By focusing on the research, design and development of cutting edge software technologies, our team produces next generation software products that unlock major growth potential in our clients. Our expertise in Functional Programming helps us craft highly concurrent, mission critical and sophisticated-yet-scalable solutions at a rapid pace.

OTHER WHITEPAPERS
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Data Analytics Integrity Challenges to Implementation of the Automated Data Collection Processes

whitePaper | March 12, 2020

In recent months, my company (Baron Consulting) has been proactively involved in setting up Data Collection Systems for a range of Private and Public Organisations we are servicing. Some of the data collection challenges have already been discussed in our recent Raw Data Collection 2020: Principles and Challenges White Paper. While the RDC (Raw Data Collection) paper analysed the current state of the everchanging Data Collection requirements, it did not have the scope to address technicalities of the RDC processes along with the specific Data Collection tools and methods. The purpose of this paper is to fill the void by looking into implementation of the automated data collection processes.

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Replanteamiento del acceso a las aplicaciones gestión de una fuerza laboral moderna

whitePaper | February 26, 2020

El cambio de paradigma que se está extendiendo por el ámbito tecnológico y empresarial es cada día más evidente. La transición a cloud computing está llegando a su punto de inflexión. Las fusiones y adquisiciones han proliferado. Además, con un número cada vez mayor de usuarios finales que operan fuera del entorno empresarial, los departamentos de TI deben prestar servicio a un ecosistema de usuarios cada vez más diverso, distribuido y exigente

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Build a thriving business using data and analytics at scale

whitePaper | February 7, 2020

The problem is that growing volumes of data can lead to data paralysis, because no one knows quite where to begin or how to use it. Siloed information sources, no data management strategy, disconnected spreadsheets or analytical tools and poor data quality all work to compound the issues you’re facing.

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Introducing Apache Druid

whitePaper | January 31, 2020

Many companies have invested heavily in specialized enterprise data warehouses (EDW) and Extract, Transform and Load (ETL) technologies to analyze their operational data. But these technologies were never designed to be truly real-time.They were originally built for batch, and that original design limits how real-timeEDWs and ETL can become. They were also designed to support a focused group ofanalysts, not a larger group of employees spanning operational functions, or even partner and end customers.

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Drive Analytic Innovation Through SAS and Open Source Integration

whitePaper | May 27, 2021

In many organizations, we need more collaboration between businesses, analytic teams, application developers and IT operations. These teams often work with data in silos and end up duplicating efforts, failing to integrate, or missing opportunities to deliver value from data. In addition to siloed efforts, data scientists are also faced with ever-increasing volumes and speeds of data. And the reality is they’re expected to answer questions just as fast as - or faster than - before. It’s important that we’re using the right data and the right techniques to ensure optimal outcomes. Download this guide to learn more about SAS and open source.

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Why Deck 7

whitePaper | January 1, 2020

With over 2,800 campaigns each year delivered through a team of 300+ digital, data, and technology specialists, Deck 7 is a first resource for B2B demand generation services for marketers worldwide. Clients leverage Deck 7’s multichannel content marketing services and Media 7’s network of 30+ online publications for content syndication to engage over 95 million buyers across 16 industries and 120+ countries.

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Spotlight

Soosto

We weave big-data analytics and predictive modeling into advanced software platforms to help our clients boost their key financial metrics on the e-commerce and marketing channels. We take advantage of the latest methods in the fields of Artificial Intelligence and Machine Learning to drive increases in customer satisfaction, conversions, revenue and other critical domain-specific objectives. By focusing on the research, design and development of cutting edge software technologies, our team produces next generation software products that unlock major growth potential in our clients. Our expertise in Functional Programming helps us craft highly concurrent, mission critical and sophisticated-yet-scalable solutions at a rapid pace.

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