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	<title>big data strategies Archives - Artificial Intelligence</title>
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		<title>DEVISING BIG DATA STRATEGIES TO ENSURE BETTER BUSINESS OUTCOMES WITH AGILITY</title>
		<link>https://www.aiuniverse.xyz/devising-big-data-strategies-to-ensure-better-business-outcomes-with-agility-2/</link>
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		<pubDate>Wed, 13 May 2020 13:18:53 +0000</pubDate>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Big data]]></category>
		<category><![CDATA[big data strategies]]></category>
		<category><![CDATA[data analytics]]></category>
		<category><![CDATA[Technology]]></category>
		<guid isPermaLink="false">http://www.aiuniverse.xyz/?p=8743</guid>

					<description><![CDATA[<p>Source: analyticsinsight.net Big data has turned into the lifeblood of modern businesses. The technology can enable businesses to operate with extended flexibility and agility to churn out <a class="read-more-link" href="https://www.aiuniverse.xyz/devising-big-data-strategies-to-ensure-better-business-outcomes-with-agility-2/">Read More</a></p>
<p>The post <a href="https://www.aiuniverse.xyz/devising-big-data-strategies-to-ensure-better-business-outcomes-with-agility-2/">DEVISING BIG DATA STRATEGIES TO ENSURE BETTER BUSINESS OUTCOMES WITH AGILITY</a> appeared first on <a href="https://www.aiuniverse.xyz">Artificial Intelligence</a>.</p>
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<p>Source: analyticsinsight.net</p>



<p>Big data has turned into the lifeblood of modern businesses. The technology can enable businesses to operate with extended flexibility and agility to churn out greater productivity. Achieving goals has become more convenient with the emergence of big data technologies and tools. In fact, a correct big data strategy can help catalyze many business operations at a scale.</p>



<p>To ensure better business agility, business makers must collaborate with IT teams to adopt high-end big data strategy. This initiative will also determine alignment across all departments. This will subsequently avoid potential conflicts in projects and allow cumulative outcomes to harness the true worth of big data analytics. Therefore, a collaborative approach will help businesses make optimal decisions.</p>



<p>In a Forrester Report, “How to Scale Business Intelligence with Hadoop-based Platforms,” Boris Evelson, Vice President and Principal Analyst, described a concept called Systems of Insight, which combines the best of both worlds with agile BI and big data analytics.</p>



<p>Brian Hopkins, Analyst at Forrester said, “Systems of insight delivers what Big Data cannot — effective action through insights-driven software; after all, that’s the only thing firms really care about.”</p>



<p>According to him, the system of insight is equal parts of people, process, and technology. To date, vendors have driven the conversation toward the technology. To make a business difference, not just save IT cost, one needs a better strategy that includes:</p>



<p>Small cross-functional insights teams, sponsored by a leader with accountability for a business outcome. These teams will combine business domain expertise, data science skills, engineering expertise, and software development know-how to find, test, and implement insights.</p>



<p>A repeatable insight-to-execution process that integrates data science, collaboration, governance, and agile implementation workflows. Without a repeatable process, you won’t have a system, just a bunch of people sifting through a sea of data for occasional nuggets.</p>



<p>A digital insights architecture that will be built off of the big data management and agile BI work you have done. It will add insights delivery engines and data feed management capabilities and provide a pluggable fabric for insight discovery, collaboration, and governance tools.</p>



<p>Business agility is more than facilitating data democratization. Leading organizations know what to do with the data and how to use the data to change the way they do business.</p>



<p>Big data analytics can help drive organizational, cultural, and operational change, and companies need to embrace new ways of doing business and executing the marketplace. Let the analytics facilitate the right changes to processes and structures to create better outcomes.</p>



<p>Systems of Insight is a great new way of looking at big data analytics, especially in terms of the impact it can have on the business. Greater business agility is the modern objective of big data analytics, and it’s important to embrace how your organization can use new big data analytics to facilitate the changes necessary to achieve agility.</p>



<p>Moreover, with the proliferating market, it has become compulsory for firms to undertake big data initiatives and develop big data strategies to ensure their success against their agile competitors.</p>
<p>The post <a href="https://www.aiuniverse.xyz/devising-big-data-strategies-to-ensure-better-business-outcomes-with-agility-2/">DEVISING BIG DATA STRATEGIES TO ENSURE BETTER BUSINESS OUTCOMES WITH AGILITY</a> appeared first on <a href="https://www.aiuniverse.xyz">Artificial Intelligence</a>.</p>
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		<title>6 Ways to use Big Data in Ecommerce</title>
		<link>https://www.aiuniverse.xyz/6-ways-to-use-big-data-in-ecommerce/</link>
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		<dc:creator><![CDATA[aiuniverse]]></dc:creator>
		<pubDate>Sat, 15 Jul 2017 06:33:14 +0000</pubDate>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[Big data]]></category>
		<category><![CDATA[Big Data Analytics]]></category>
		<category><![CDATA[big data strategies]]></category>
		<category><![CDATA[customer service]]></category>
		<category><![CDATA[Ecommerce]]></category>
		<category><![CDATA[Ecommerce industry]]></category>
		<guid isPermaLink="false">http://www.aiuniverse.xyz/?p=73</guid>

					<description><![CDATA[<p>Source &#8211; dataconomy.com The creation and consumption of data continues to rapidly grow around the globe with large investment in big data analytics hardware, software, and services. The availability <a class="read-more-link" href="https://www.aiuniverse.xyz/6-ways-to-use-big-data-in-ecommerce/">Read More</a></p>
<p>The post <a href="https://www.aiuniverse.xyz/6-ways-to-use-big-data-in-ecommerce/">6 Ways to use Big Data in Ecommerce</a> appeared first on <a href="https://www.aiuniverse.xyz">Artificial Intelligence</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Source &#8211; dataconomy.com</p>
<p>The creation and consumption of data continues to rapidly grow around the globe with large investment in big data analytics hardware, software, and services. The availability of large data sets is one of the core reasons that Deep Learning, a sub-set of artificial intelligence (AI), has recently emerged as the hottest tech trend. Huge giants such Google, Facebook, Baidu, Amazon, IBM, Intel, and Microsoft are heavily investing in big data, with the acquisition of talent hot on their agenda.</p>
<p>Big data is continuously creating new challenges and opportunities, all of which have been forged by the information revolution. This infographic takes a look at how those in the ecommerce industry are already using data sets to introduce a new level of strategic marketing and provide better customer service experiences.</p>
<p>Predicting trends, optimising pricing and forecasting demand, are just some of the ways that ecommerce businesses are using data to gain a competitive advantage. The guesswork has been removed, and now ecommerce businesses can accurately make strategic decisions on how to operate their online empires.</p>
<p>Big data is proving to be a game-changer when it comes to retail and ecommerce. If businesses can successfully implement effective big data strategies then they will reap the rewards of better customer experiences and bigger profits. This infographic explores practical ways to introduce data solutions with simple implementation.</p>
<p>The post <a href="https://www.aiuniverse.xyz/6-ways-to-use-big-data-in-ecommerce/">6 Ways to use Big Data in Ecommerce</a> appeared first on <a href="https://www.aiuniverse.xyz">Artificial Intelligence</a>.</p>
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