In midsize and large organizations, critical business processing continues to depend on relational databases including Microsoft® SQL Server. While new tools like Hadoop help businesses analyze oceans of Big Data, conventional relational-database management systems (RDBMS) remain the backbone for online transaction processing (OLTP), online analytic processing (OLAP), and mixed OLTP/OLAP workloads.
What if you could reduce the cost of running Oracle databases and improve database performance at the same time? What would it mean to your enterprise and your IT operations?
Oracle databases play a critical role in many enterprises. They’re the engines that drive critical online transaction (OLTP) and online analytical (OLAP) processing applications, the lifeblood of the business. These databases also create a unique challenge for IT leaders charged with improving productivity and driving new revenue opportunities while simultaneously reducing costs.
Olapic is an innovator in visual content solutions, offering the technology and expertise to help brands create authentic, personalized, and effective customer experiences along their entire journey. Through user-generated content – content that is earned from consumers; influencer-generated content – content that is requested from specific creators; and enhanced branded content – existing image or long-form video content that is transformed into short form videos, Olapic helps brands get the right visual content, use it across marketing channels, and understand its impact on performance and ROI.
IBM Planning Analytics Local is the on-premises version of the planning solution built on the powerful, in-memory OLAP engine of IBM TM1. It automates your planning, budgeting and forecasting, and helps you link operational tactics with financial plans.
Published By: SAP Inc.
Published Date: Jul 28, 2009
Learn how midsize companies are putting in place a business intelligence information infrastructure - making them more likely to adhere to their budgets and deadlines, concentrate on improving the overall business rather than just one department, and reward employees accordingly.
Published By: Datastax
Published Date: Apr 04, 2017
For the new or veteran Database Administrator (DBA):
As a DBA, perhaps you’ve seen database engines such as object-oriented and OLAP databases come and go, and you’re wondering why NoSQL should be any different.
You may ask questions like:
What kinds of administration and management work does NoSQL entail?
How are security, backup and recovery, database monitoring and tuning handled?
How do I create databases, objects, and read/write data without SQL?
Learn what NoSQL is, why it’s needed, and when it’s not.
Published By: SRC,LLC
Published Date: Jun 01, 2009
Companies spend millions of dollars every year on building data warehouses, buying business intelligence (BI) software tools and managing their analytic processes in the hope of gaining consumer insight and winning market share. Yet, many companies fail to realize the full benefits of their technology investments because they are hamstrung by the layers of expertise and the complexity of technology tools needed to integrate various data warehouses and associated tools within their existing analytic environments. Since analysis is only as good as the accessibility, timeliness and accuracy of the information being analyzed, the interoperability of any data warehouse with any analytic environment is essential to achieving insightful, actionable analysis and making better decisions.
Published By: Vertica
Published Date: Aug 15, 2010
If you are responsible for BI (Business Intelligence) in your organization, there are three questions you should ask yourself:
- Are there applications in my organization for combining operational processes with analytical insight that we can't deploy because of performance and capacity constraints with our existing BI environment?
The ability to make quick, well-informed decisions is critical to competitiveness and growth for most companies. Read the white paper to see how Data warehouse solutions can deliver business insight across virtually any business process or function. And also how they're particularly valuable for understanding sales, profiling customers and analyzing business costs.
Today’s data volumes, combined with the credo of data-driven everything, make for an analytics landscape radically different from that of years past. Delays involved in moving and shaping operational data into separate data warehouses, data lakes and standalone BI platforms can thwart effective operational analytics. In fact, for some organizations, such segregation of infrastructure and process may not work at all.
Just because OLTP (Online Transactional Processing) and OLAP (Online Analytical Processing) are distinct workloads doesn’t mean they should take place on separate platforms. Sure, dedicated server nodes may make sense to optimize the performance of operational and analytical tasks, but they need to operate on the same data, in a coordinated fashion. Modern databases – serving the needs of both business analysts and application developers – are great platforms for implementing such business-forward architectures.
To learn more, join us for this free 1-hour webinar from Gig
Find out how to meet the challenges facing your midsize company and benefit from the road map that takes you through the process of deploying a BI solution, enabling you to start small and then build incrementally on your initial success to make fact-based and BI-driven decision making pervasive in your company.
When the numbers get this big, we tend to think of them only in the abstract:
500 million photos were shared per day in 2013 and 1.8 billion photos are being shared per day in 2014. That’s 75 million per hour, 1.25 million per minute and 20,833 per second.
Olapic’s new visual commerce white paper places this content explosion in context. We filled it with data that matters, insights from our experience with over 150 brands and retailers, and strategic guidance for companies ready to plan their approach to the visual commerce opportunity.
Download From Ripple to Wave: The Ascent of Authentic Visual Content now.
Companies are trying to improve efficiencies and performance of many real-time operational business practices, including customer experiences, inventory & purchasing, manufacturing yield, BAM and BPM. This white paper explores strategies and capabilities that best-in-class companies are employing to improve operational performance.
Published By: LogiXML
Published Date: May 04, 2007
The term Business Intelligence 2.0 (BI 2.0) is cropping up more and more in the industry, generally referring to the next generation of BI just as Web 2.0 has come to refer to the next generation of the Web.
Published By: ZSL Inc.
Published Date: Jul 20, 2009
Organizations have implemented enterprise applications such as ERP and CRM for business process execution but have failed to address the key enterprise asset: data. In the current economic environment, enterprises that fail to capitalize on their data assets jeopardize their cost structures and their earnings potential. It is vital for organizations to leverage their data assets to measure their business performance, identify the weak poles and strategic improvement spots to scale their business to new heights. Business Intelligence (BI), the recent innovation in IT, has emerged to be a potential hope for the organizations to build a strong business milieu without any new asset investments and utilizing the existing key assets of the organizations.
Published By: 4Retail
Published Date: Mar 24, 2010
This white paper aims to identify why there is a need for a new technology and how this solution can improve communication, enhance collaboration and reduce the lead time of the design to delivery cycle.