Strategies for creating an information-driven culture
Welcome to the July Issue of Business Intelligence News!
In April, Gartner announced its latest BI vendor shares, and SAP BusinessObjects business intelligence (BI) solutions once again held the top spot with market share of 21.3%. A large part of the success has been the comprehensiveness of the portfolio, covering reporting, dashboards, discovery, and analysis. With the corporate-wide objective to “Run Simple,” the portfolio will come together as a single package called the SAP BusinessObjects BI suite, delivering all the BI clients need along with a single, secure, and highly scalable BI platform.
Earlier this year, the leading industry analyst firm Forrester Research Inc. released The Forrester Wave: Enterprise Business Intelligence Platforms, Q4, 2013, which rated SAP as a leader in the business intelligence (BI) market. Thierry Audas now shares more related news as Forrester just released another piece of research, The Forrester Wave: Agile Business Intelligence Platforms, Q3, 2014, which rates SAP as a leader in this specific segment of the BI market.
We’ve all experienced some form of predictive analytics in our day-to-day lives – each time we check the seven-day weather forecast or price airline tickets for a future trip. And while we’ve become accustomed to this technology in our daily lives, how many businesses take advantage of this power to anticipate the future? According to a best-practices report by The Data Warehousing Institute (TDWI), only about 20% of organizations surveyed report having some predictive analytics activity already under way. Market awareness and adoption of predictive analytics are increasing. If predictive analytics isn’t on your business radar yet, you risk falling behind.
Companies gain no advantage from being data hoarders. It doesn’t matter how much customer data a business can gather and store away. If all of that data isn’t combined with the organization’s structured data and made available to all business users, it offers no value. The true power of data lies in its interconnectivity, which is the premise of collective insight. Collective insight tells you the full story behind your business operations – not only what happened, but why it happened, what will happen, and what’s the best that can happen.
In business, as in life, the only constant is change. It’s not the constancy of change that is challenging; it is how exponentially quickly it seems to be happening in today’s world. A world where there are more mobile devices than people. And where data doubles every 18 months. It’s all those people, devices, and data that have given rise to the concept of Big Data. But what does Big Data really mean to your business?
Business analytics has come a long way. 15 years ago, you probably remember talking about modeling and profiling of databases. Then the technology was amazing and only a PhD-level statistical analyst could make sense of it all. Enterprises of all sizes can now apply analytics and data modeling tools on top of Big Data technology to extract meaningful trends and insights that can quickly deliver valuable business intelligence, agile visualizations, and advanced predictive analytics – on any device or platform at any time.
There’s been a lot of hype and hyperbole around Big Data in the past few years, with many technology companies jumping on the bandwagon to reinvent themselves and generate new revenue streams. At SAP, what makes us different is that Big Data has been part of our DNA for years. Our core ERP solutions laid the foundation for the data-driven economy, enabling the industrialization of reams of data across industries for the first time.
To deliver the best results for their advertisers, Forbes needed better insight into their readers. SAP BusinessObjects solutions provide Forbes with an environment in which they are able to more accurately target their customers or products that fit their needs. The company is able to explore subscriber data – which helps their advertising clients reach their audience more effectively.
- Seven Steps for Implementing Data Discovery Tools
- Creating the Intelligent Enterprise with Real-Time Big Data
- Innovations in BI: Creating the Network of Truth
- Predictive Analytics: The Stakes Have Never Been Higher