Excel

Leveraging Data Virtualization To Avoid Cloud PitfallsCompanies are rapidly moving from desktop apps to cloud-based apps, and they’re moving data from physical data centers to cloud-based repositories. These trends show no signs of slowing down; IDG predicts that by 2018, the typical IT department will house most of its apps and platforms in the cloud. Unfortunately, both app migrations and data migrations are fraught with challenges, and companies will need to overcome these challenges if they hope to take full advantage of cloud benefits. 

Realizing the Promise of Self-Service AnalyticsSelf-service analytics promises to liberate business users to perform analytics without the assistance of IT, and this in turn promises to free IT to focus on enhancing the infrastructure. Download this solution brief to learn more about the following:How fragmented data is seamlessly unified.How a high-maintenance data integrations are replaced by a single, low-maintenance data virtualization layer.How data delays are virtually eliminated, as data can be accessed in real time.How data integrity is preserved.How data lineage is fully traceable....

Digital transformation and the insurance industry - taking customer connection to a new level.Digital transformation is affecting all industries, and Forrester observes that it is profoundly affecting the insurance industry, saying that “digital insurance strategy leaders must reinvent their companies to become fundamentally digital, from underwriting through to claims settlement.”Download this solution brief to learn more about the following:

Retail companies are leveraging data virtualization to enable seamless experiences across online and in-store environments. For the last two decades, retailers have been serving a customer base that has been increasingly fickle. They are empowered to research available options, check ratings, compare notes with their personal and professional networks, and switch brands. They now expect to interact with retail brands with the same immediacy that they interact on social networks.To do that, both established and modern retailers need to adopt hybrid strategies that embrace physical and virtual...

The last 10 years we have focused on accumulating untold volumes of data-at-rest, predicted to grow to 40+Zetabytes by the end of the decade. The next frontier master is data-in-motion – the data that is flowing from billions of sensors that are instrumenting every machine, device and person. Unique actionable intelligence lives at the intersection of these two domains when IoT data meets machine learning and artificial intelligence. Hear how leading organizations harness next-gen connected data platforms to drive transformative data initiatives.Listen to Piet Loubser, VP of Product and...

Enhance your data warehouse with a logical data warehouse, for unbridled agilityBusiness depends on actionable intelligence, and for years this has been furnished by business intelligence tools, which pull the data from a data warehouse. Business stakeholders have come to expect that all of the relevant data is copied to the data warehouse, even if they sometimes have to wait a day for the latest data to arrive. The problem is, some of the newer sources of data, such as data from social media platforms, data from in-process transactions, or raw data about the movement of machines, is just not...

Leverage Data Virtualization to Manage Data Access from a Single Point.

Leveraging Data Virtualization to Supercharge Cloud DeploymentsOrganizations are moving to cloud-based infrastructure, to enable SaaS products and other service-oriented initiatives, and forgo many of the costs associated with maintaining on-premises infrastructure. But transitions to the cloud are not easy.As a first step, many organizations move data from multiple sources into cloud based data lakes, only to find that though the data is now stored in a single location, the data is still organized into silos. Organizations also find that security presents additional challenges, since the...

MDM implementations require substantial investments in not only time and money, but also in hardware, physical space, and resources. Unfortunately, many companies that have already made these investments are unable to unlock the full potential of their customer, product, supplier and other data, once mastered. This is not because of any strategic weakness of MDM, but because MDM systems can only focus on two core functions, but not those that focus on transactional data. Read this solution brief to learn how MDM combined with data virtualization can enable a complete view of the customer,...

Many firms are adopting “cloud first” strategy and are migrating their on-premises technologies to the cloud. Logitech is one of them. They have adopted the AWS platform and big data on the cloud for all of their analytical needs, including Amazon Redshift and S3.