by clicking on the page. A slider will appear, allowing you to adjust your zoom level. Return to the original size by clicking on the page again.
the page around when zoomed in by dragging it.
the zoom using the slider on the top right.
by clicking on the zoomed-in page.
by entering text in the search field and click on "In This Issue" or "All Issues" to search the current issue or the archive of back issues respectively.
by clicking on thumbnails to select pages, and then press the print button.
this publication and page.
displays a table of sections with thumbnails and descriptions.
displays thumbnails of every page in the issue. Click on a page to jump.
allows you to browse through every available issue.
GCN : October and November 2016
S-20 HOW CAN YOU KNOW IN REAL TIME IF EVERYTHING IS RUNNING ON TIME? WITH ANALYTICS SOLUTIONS FROM SAP, YOU’LL KNOW. Data is all around us – but how can your organization tap into it in time to act? Analytics solutions from SAP help you analyze all of your data in real time. Accelerating knowledge to provide simple insight into every business question, and every business process. And redefining the definition of agility for your enterprise. For more, visit Carahsoft.com/innovation/SAP-analytics A LL GOVERNMENT AGENCIES are seeing data volumes exploding. Agencies are managing data from emails, transactional systems, videos, social media, sensors , and other sources that are creating treasure troves of information about customers, citizens, products, and ser vices. Less than 0.5 percent of all of this data is ever analyzed—yet if organizations leveraged the full power of big data—they could decrease thei r operating costs by as much as 30 percent. Why are agencies not leveraging these opportunities? They are trying, but as data volumes grow, data environments grow increasingly complex. Agencies struggle with how to get the most out of their data as IT budgets decrease. How can government organizations efficiently bring disparate data sources together and analyze it to make decisions that positively impact the mission? These challenges require a new way of thinking. In the past, analytical data was nicely str uctured and kept in relational databases and data warehouses. As data demands increased, organizations simply added hardware and designed custom applications. These approaches, however, took more time and cost more than ever intended. Workarounds, such as complex spreadsheets that are unmanageable at scale, have proliferated across departments. Agencies are dealing with this data explosion while also being expected to provide proactive, continuous intelligence and automated responses that are integrated into their operational model on any device. As a result, IT departments must think differently about their approach to garnering insight from data. Instead of traditional data warehouses, organizations should adopt an agile platform approach that leverages the latest in memory technology and has the ability to support geospatial, predictive, text, and sensor data. In traditional analytical environments, due to technology limitations of the past, data scientists pulled a subset of data out of a database onto their local machines, built models, and then moved the models to a production envi ronment to use the model against more data. This is no longer needed. Agencies can now keep data, modelling, and analysis within the same envi ronment, which is much more efficient. Agencies can reduce or remove nightly, weekly, and monthly data extractions and batch jobs. By combining data analytics and in-memory computing, agencies are achieving impressive results. One organization is crunching a century’s wor th of weather data to provide more accurate climate infor mation to drive decision making based on quantitative analysis. A nother has been able to reduce crime rates in targeted areas by 55 percent; and several federal agencies have improved their financial visibility and audit preparedness by reducing the time and effort required to perform data acquisition and validation. The impact of analyzing data at the lowest levels can be seen i n a state organization struggling to find the root cause of their high infant mortality rates from data residing in more than 800 individual systems. After a quick implementation, they’ve been able to analyze agency information in a factual, real- time, collaborative envi ronment. This type of granular analysis allows these agencies to tailor solutions to the people who need help most. Organizations are starting to come to grips with the growing complexity of their data environment and the limitations of old technology. It’s time to embrace an agile platform to store, access , and most importantly, analyze data. A fter all, what good is data if you can’t use it? Laura Grant is the Head of Digital Innovation for Public Sector at SAP. LAURA GRANT HEAD OF DIGITAL INNOVATION, PUBLIC SECTOR, SAP WRANGLING BIG DATA In-memory computing offers agencies an efficient way to create value from data. SPONSORED CONTENT SPONSORED CONTENT ADVANCED ANALYTICS
August and September 2016
January and February 2017