Is your company using demand forecasting in your planning process? And are you happy with those results? Based on our interviews with hundreds of companies worldwide, we have found that among midsize manufacturers and distributors, many still use error prone spreadsheets or forecast based on historical sales data.[read more]
Cloud computing and other technological advances have made organizations focus more on the future rather than analyze the reports of past data. To gain a competitive business advantage, companies have started combining and transforming data, which forms part of the real data science.[read more]
An open-source framework like Hadoop offers endless possibilities for development, and with a strong management group like Apache Systems behind it, one can expect increasing numbers of modules and technologies to integrate with Hadoop to enable your business to achieve its Big Data goals – and maybe even go significantly beyond what you can envision today.[read more]
Now that big data is in the mix, there’s potential for a ton of noise. The business best able to cull what’s vital from the deluge of data, turn it into information and communicate it loud and clear will ride the landslide of data to success.[read more]
Every day, your company is producing more and more data. Yours isn’t alone, of course. Companies all over the world are creating progressively more information every single day. Whether it’s for the purposes of infrastructure or something related to customer details, information is a big part of how business is done these days, so it only makes sense that there would be no shortage of it across industries.[read more]
The founders of Sync, are also the founders of a company Netfirms in Canada, a premier hosting service there. Something that was an issue with them over time was the lack of full security with file sharing services like Dropbox, so after they sold Netfirms, they set out to make an easy to use, multi platform and fully secure, encrypted and unreadable by the hosting service file sharing system, they have realized that with Sync.[read more]
To deliver on your company’s future demands for data and insights, you will need to maintain your existing data warehouse – and add the great new capabilities available with big data management and in-memory analytics. The real opportunity is in making those technologies work together smoothly with minimum effort and risk.[read more]
Companies of all sizes, from early-phase start-ups to Big Pharma must continuously collaborate to ensure quality, comply with regulations, and mitigate risks in each stage of the product development life cycle. Here are six key requirements for a future-proof integration platform that can help meet the demands of life science organizations.[read more]
Not many know that Amazon Web Services, Amazon’s cloud computing franchise, is just less than a decade in age and already taking a commanding lead among its peers. Amazon has indicated that in the first quarter of 2015, it made $1.57 billion with a profit of $265 million from 2014’s $1.05 billion sales within the first quarter and a profit of $245 million. Nonetheless, Amazon Web Services’ margins had dipped to 16.9 percent from those reported in 2014’s first quarter that stood at 23.3 percent.[read more]
Want More Actionable Information from Your BI? Support Your IT Team’s Need for Data Warehouse Automation
If your organization is relatively new to BI but has successfully built some new reports with one of the great visualization tools on the market, you will soon find yourselves in need of a better data organization environment.[read more]
Through learner data, exclusive information is accessed. The same is also well understood and has been effective among corporate training consultants. HR with an interest in learner data and using it successfully will end up with relevant and responsive learning that is also very effective. Big learner data can be used to enhance employee development in a number of ways.[read more]
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Learn how in our exlcusive ebook, "Bad Data Need Not Apply: Designing the Modern Data Warehouse Environment."