• Data management processes take on a new tenor in analyst's view

    Changes in data management processes -- including self-service data preparation, data lakes and real-time analytics -- create a new landscape in companies, according to analyst Matt Aslett.Continue Reading

  • Time to replace 'corral and control' with a digital data strategy

    As data volumes explode and business uses for data increase, the old "data-first" mindset no longer applies. CIOs must develop a digital data strategy. Here is what's required.Continue Reading

  • Data asset curation: The guidelines to determine information usability

    Keeping track of existing data assets is increasingly difficult, but detailed curation of this vital company information can help streamline evolving digital governance processes.Continue Reading

  • Three questions for IBM blockchain expert Arvind Krishna

    How many nodes is enough for consensus? Who owns blockchain data? IBM blockchain expert Arvind Krishna addresses these and other burning blockchain issues in this SearchCIO tip.Continue Reading

  • Courting the Internet of Things: Legal issues to weigh

    Attorney Mark Foley explores two Internet of Things legal issues -- data ownership and intellectual-property rights.Continue Reading

  • Effective analytics depends on preparation of data

    In simple terms, successful analytics depends heavily on how well the information is prepared. Except it's not that simple. Many data scientists believe preparation of data for analysis is the biggest challenge they face, and it's all the more formidable in the era of big data. Beyond pulling data from their own internal sources, organizations must reach into the universe of websites, sensors, customer email messages and social networks bombarding them from all directions. To handle this information onslaught, data scientists potentially can find solace in an emerging class of self-service tools to aid them in the preparation of data.

    In the first part of this handbook, consultant David Loshin explains how business users and data scientists can use data preparation tools to get more comprehensive and customized views of data. Next, reporter Jack Vaughan examines how self-service data preparation tools with machine learning helped a BI team at one company streamline report creation and business users at another company to load data, put integrations together and see the effects immediately without burdening the IT staff. In the final segment, Vaughan returns to address the long-running data warehouse controversy and the concept of using data curation to smooth the process of data discovery, cleaning, transformation and integration.

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  • Cloud-based applications must deal with quirks of big data

    The veracity of big data processed by cloud-based applications is critical -- especially when the data isn't yours.Continue Reading

  • Taking the guesswork out of data ownership

    From the outset, data and data ownership have always been key components of IT, even as the focus of technology leaders has evolved. In the early days of information technology, the industry was all about just what its name suggests: leveraging technology to transform data into higher-value information. Today, however, times have changed, writes CIO expert Harvey Koeppel. He urges CIOs to turn their focus back to the data in order to meet the needs of the digital business world, transforming information into knowledge and knowledge into insights.

    In this SearchCIO handbook, Koeppel explores why digital business is driven by data and not technology, and provides eight tips for CIOs to keep up with the times. In our second piece, CTO Niel Nickolaisen describes how a heated debate between software engineering and operations resulted in a data governance manifesto for today's digital times. And finally, Senior News Writer Nicole Laskowski digs into how Goldman Sachs built a graph analytics platform for various use cases, including compliance and fraud detection.Continue Reading

  • Eight steps for keeping pace with data ownership

    Social, mobile, analytics and cloud computing require a fresh look at issues related to data ownership, according to Harvey Koeppel. His eight-point CIO checklist can help.Continue Reading

  • Is it time for a new data ownership manifesto?

    Niel Nickolaisen resolves a heated dispute between software engineering and operations over data ownership by locking the two teams in a room.Continue Reading

  • How a data steward can enable data governance, without 'police' tag

    A data governance program doesn't have to be a police action. Instead, advises expert Anne Marie Smith, data stewards should help bring about cultural change in a collaborative way.Continue Reading

  • Applying data quality rules is a job for users -- and data virtualization

    Consultant David Loshin outlines a strategy for ensuring data is suitable to use: Make business units responsible for applying data quality policies and use data virtualization tools to help manage the process.Continue Reading

  • Seven best practices to boost big data governance efforts

    Governing big data is much like governing other data, though businesses must adjust governance processes to accommodate larger, more varied data sets.Continue Reading

  • Managing data with Enterprise Integration Management and SQL Server

    Microsoft tools for SQL Server can help build a comprehensive enterprise integration management platform.Continue Reading

  • Creating a data governance council: Enlist champions to lead

    Enlist senior-level champions from both business and IT to guide a data governance program and achieve harmony between the two sides.Continue Reading