SQL is a critical skill for business intelligence. From accessing to transforming to reporting on data, SQL gives you the power to get the job done. It can help you discover exactly how your company is performing, what your customers are doing, or how people have reacted to your marketing campaigns.
Unfortunately, while SQL can tell you what has happened, it can’t tell you what will happen. What if you have questions like:
• How valuable is a lead based on company attributes and their behavior on our website? • How much MRR will we generate in the next 30 days? • Which customers are likely to churn next month?
Most CIOs today understand that digital transformation initiatives can help streamline business process; boost ef?ciency; increase competitiveness; and, broadly, help their organization become disruptive over the long term.
Some of the transformation initiatives under way—even in many pace-setting companies—are struggling to manage the exponential explosion of unstructured data and the associated heightened compliance and security demands, however.
Fortunately, new solutions that tap arti?cial intelligence (AI) can extract hidden insights from unstructured data, such as documents, images, videos, and audio ?les. AI is also helping automate many of the labor-intensive processes used to classify, organize, and analyze unstructured content
Published By: Dell EMC
Published Date: May 12, 2016
Businesses face greater uncertainty than ever. Market conditions, customer desires, competitive landscapes, and regulatory constraints change by the minute. So business success is increasingly contingent on predictive intelligence and hyperagile responsiveness to relentlessly evolving demands. This uncertainty has significant implications for the data center — especially as business becomes pervasively digital. IT has to support business agility by being more agile itself. It has to be able to add services, scale capacity up and down as needed, and nimbly remap itself to changes in organizational structure.
Published By: Dell EMC
Published Date: Oct 08, 2015
In this article, learn how Dell working with Intel® helps IT leaders overcome the challenges of IT and business alignment, resource constraints and siloed environments through a comprehensive big data portfolio based on choice and flexibility, redefined economics and connected intelligence.
There are some surprisingly straightforward reasons behind the glitches, delays, and cost-overruns that can bedevil data warehouse initiatives. ...The first is simply confusing expectations with requirements. But four other troublemakers can also lead to big problems for developers, IT departments, and organizations seeking to maximize the business value of information.
When a pharmaceutical company discovered its risks under the new Patient Protection and Affordable Care Act, it turned to Collaborative to comb and consolidate its data. The result: compliance and insight into new business opportunities, too, through a company-wide business data warehouse and enhanced business intelligence.
The cloud is a network of servers housing data, software, and services. Cloud services are commonly accessed via the Internet, instead of locally in a data center. Businesses are increasingly relying on the cloud for cybersecurity for two key reasons: 1. Due to a changing threat landscape, there’s a need for more scale, accuracy, experience, and collective intelligence. These resources are out of reach internally for most organizations. 2. There are fundamental limits with on-premises hardware mitigation appliances and enterprise data centers for Distributed Denial of Service (DDoS) and web attack protection.
There are obviously a variety of choices open to you: a spreadsheet plug-in may be appropriate if you are only focused on general ledger reporting and do not have concerns over security or compliance. You might also suppose that this is a low-cost option, though we would argue that the remediation required, the additional audit fees and the lack of repeatability means that this is a false economy and that this approach will end up costing you more in the long term. A second use case would be where you already have a financial reporting solution installed, when the add-on facilities for purposes such as business intelligence are likely to be your major focus. In this case an Oracle based solution is likely to be as good as anything else.
If you are working with massive amounts of data, one challenge
is how to display results of data exploration and analysis in a
way that is not overwhelming. You may need a new way to look
at the data – one that collapses and condenses the results in an
intuitive fashion but still displays graphs and charts that decision
makers are accustomed to seeing. And, in today’s on-the-go
society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time.
SAS® Visual Analytics is a data visualization and business
intelligence solution that uses intelligent autocharting to help
business analysts and nontechnical users visualize data. It
creates the best possible visual based on the data that is
selected. The visualizations make it easy to see patterns and
trends and identify opportunities for further analysis.
With new technologies, new opportunities often emerge, especially in business. The advent of innovations, such as social media and mobile devices, is changing the ways businesses interact with customers and the ways in which customers desire to be engaged. Opportunities arising from the benefits of salesforce automation, business intelligence (BI), and customer relationship management (CRM) applications are providing new levels of insight, helping businesses acquire customers more efficiently and retain those customers longer. As a direct result, organizations that invest in better understanding potential customers are likely to see higher returns than those organizations that possess a more limited understanding of their customer base. Seeking the competitive advantage resulting from improved customer focus, IT organizations have increased investment in business intelligence and analytics and the underlying infrastructure to support those applications.
Is turning data into information still a challenge for your company? If so, you are not alone. View this on-demand Webinar with SAP and HP to learn how you can manage ever-increasing amounts of data; provide this data to business users to make critical decisions in a timely fashion; and enable true self-service business intelligence (BI) for business users.
Business intelligence technology must meet the demands of tomorrow's "digital natives"; integrate seamlessly with cloud data and platforms; align people, conversations, and data with business strategy; and make the most of the infrastructures we have today.
View this live Webcast from the Aberdeen Group that features senior research analyst for business intelligence Mike Lock. Learn how best-in-class companies are delivering broader access to information in a shorter time frame to facilitate substantial improvement in key business performance metrics.
Oracle Autonomous Data Warehouse Cloud is more than just a new way to store and analyze data; it’s a whole new approach to getting more value from your data.
Market leaders in every industry depend on analytics to reach new customers, streamline business processes, and gain a competitive edge. Data warehouses remain at the heart of these business intelligence (BI) initiatives, but traditional data-warehouse projects are complex undertakings that take months or even years to deliver results.
Relying on a cloud provider accelerates the process of provisioning data-warehouse infrastructure, but in most cases database administrators (DBAs) still have to install and manage the database platform, then work with the line-of-business leaders to build the data model and analytics. Once the warehouse is deployed—either on premises or in the cloud—they face an endless cycle of tuning, securing, scaling, and maintaining these analytic assets.
Oracle has a better way. Download this whitepaper to f
The volume of information in the healthcare industry continues to grow exponentially. Meaningful Use, ICD-10, and Accountable Care are all contributing to this data growth. Download this whitepaper to learn how your organization can develop strategies to effectively manage this information throughout its life cycle.
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
New market entrants are shifting the way the financial sector operates, new business models are changing customer expectations, and ever-changing client demographics are forcing businesses to adapt the way they work.
As we move into a decade of artificial intelligence (AI) and digital innovation, huge opportunities are opening up for the financial sector to combat these changes. But with this comes new challenges, and exponential increases in available information must be accompanied by smart tools and processes to make sense of it, ensure regulatory compliance, and add real value to clients.
To find out more, download this ebook!