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"Social data analytics is the first practical guide for professionals who want to employ social data for analytics and business intelligence (BI). This book provides a comprehensive overview of the technologies and platforms and shows you how to access and analyze the data. You'll explore the five major types of social data and learn from cases and platform examples to help you make the most of sentiment, behavioral, social graph, location, and rich media data. A four-step approach to the social BI process will help you access, evaluate, collaborate, and share social data with ease."

"Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, big data is belittled, projects flounder, are late and go over budget. Business intelligence guidebook : from data integration to analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers.After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget, turning the deluge of data into actionable information that fuels business knowledge. Finally, you’ll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success."

"Data warehousing in the age of the big data will help you and your organization make the most of unstructured data with your existing data warehouse.As big data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author Krish Krishnan helps you make sense of how big data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses big data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a big data–ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory."

"Learn about the emergence and evolution of IT in the enterprise, see how machine learning is transforming business intelligence, and discover various cognitive artificial intelligence solutions that complement and extend machine learning. In this book, author Rohit Kumar explores the challenges when these concepts intersect in IT systems by presenting detailed descriptions and business scenarios. He starts with the basics of how artificial intelligence started and how cognitive computing developed out of it. He'll explain every aspect of machine learning in detail, the reasons for changing business models to adopt it, and why your business needs it. Along the way you'll become comfortable with the intricacies of natural language processing, predictive analytics, and cognitive computing. Each technique is covered in detail so you can confidently integrate it into your enterprise as it is needed. This practical guide gives you a roadmap for transformin g your business with cognitive computing, giving you the ability to work confidently in an ever-changing enterprise environment. You will: See the history of AI and how machine learning and cognitive computing evolved Discover why cognitive computing is so important and why your business needs it Master the details of modern AI as it applies to enterprises Map the path ahead in terms of your IT-business integration Avoid common road blocks in the process of adopting cognitive computing in your business."

"Keputusan Menteri Komunikasi dan Informatika Nomor 1156 tahun 2016 menunjuk Kepala Pusat Data dan Sarana Informatika PDSI sebagai CIO Kementerian Kominfo dengan tugas pengelolaan layanan teknologi informasi TI di lingkungan internal Kementerian Kominfo. Berdasarkan katalog layanan, terdapat 27 layanan TI yang diberikan PDSI kepada internal Kementerian Kominfo. Dari hasil survei, indeks kepuasan pegawai terhadap layanan TI PDSI tertinggi yang dicapai adalah 61.33. Sedangkan harapan dari Kepala PDSI adalah 85. Berdasarkan analisis fishbone, salah satu sebab permasalahan tidak tercapainya indeks kepuasan pegawai adalah belum adanya Service Level Agreement SLA layanan TI. Untuk meningkatkan indeks kepuasan pegawai terhadap layanan TI PDSI dengan memastikan bahwa layanan TI telah dilakukan sesuai dengan harapan maka perlu disusun rancangan SLA layanan TI PDSI Kemkominfo. Perancangan SLA pada penelitian ini mengacu pada kerangka kerja ITIL v3 2011. Penelitian ini merupakan penelitian kualitatif dengan kategori studi kasus. Pengumpulan data dilakukan melalui wawancara terhadap pejabat dan pengelola TI di PDSI sebagai pemilik layanan, serta perwakilan pengguna layanan TI. Untuk memperoleh data yang lebih mewakili pengguna layanan, dilakukan survei dengan 307 sampel pegawai Kemkominfo. Hasil survei divalidasi oleh perwakilan pengguna. Selain itu dilakukan pula observasi dokumen dan lapangan. Dari penelitian ini, diperoleh empat SLA layanan TI yang dapat membantu meningkatkan indeks kepuasan pegawai Kominfo.

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Decree of the Minister of Communication and Information Technology Number 1156 of 2016 appoint the Head of center for data and ict infrastructure PDSI as CIO Ministry of Communications and Informatics with the task of managing information technology services IT within the internal Ministry of Communications and Information Technology. Based on the service catalog, there are 27 IT services provided by PDSI to the internal Ministry of Communications and Information Technology. From the survey results, the highest employee satisfaction index of PDSI 39 s IT service is 61.33. While the expectation of PDSI Head is 85. Based on fishbone analysis, one of the reasons for the problem of not achieving the index of employee satisfaction is the absence of Service Level Agreement SLA IT services. To improve the employee satisfaction index for PDSI IT services by ensuring that IT services have been conducted in line with expectations, it is necessary to draft design of Service Level Agreement for Information Technology Services.

The design of SLA in this research refers to the framework of ITIL v3 2011. This research is a qualitative research with case study category. Data collection was conducted through interviews of IT officials and managers in PDSI as service owners, as well as IT service user representatives. To obtain data that is more representative of service users, a survey was conducted with 307 samples of employees of Kemkominfo. The survey results are validated by the user representative. In addition, document and field observations were also conducted. From this research, it is obtained four SLA IT service that can help improve the index of satisfaction of Kominfo employeesof development of information system to prevent implementation failure of the information system in the future."

"Corporations and governmental agencies of all sizes are embracing a new generation of enterprise-scale business intelligence (BI) and data warehousing (DW), and very often appoint a single senior-level individual to serve as the enterprise BI/DW program manager. This book is the essential guide to the incremental and iterative build-out of a successful enterprise-scale BI/DW program comprised of multiple underlying projects, and what the enterprise program Manager must successfully accomplish to orchestrate the many moving parts in the quest for true enterprise-scale business intelligence and data warehousing.Author Alan Simon has served as an enterprise business intelligence and data warehousing program management advisor to many of his clients, and spent an entire year with a single client as the adjunct consulting director for a $10 million enterprise data warehousing (EDW) initiative. He brings a wealth of knowledge about best practices, risk management, organizational culture alignment, and other Critical Success Factors (CSFs) to the discipline of enterprise-scale business intelligence and data warehousing."

" "Information Security & Ethics: Social & Organizational Issues comprises a reference for students, teachers and researchers working in the fields of information ethics. It provokes debate on a range of topical social and ethical issues related to the uses of information and communication technologies within societies."--Jacket."