challenges of data management pdf

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Legal Challenges of Data Management With the development of digital infrastructures in healthcare, there is growing need to work all the data available into a ‘data fabric’, a technology connecting data across locations, formats, IT systems and computer programs. 2011-12-07T12:56:29-05:00 KV+z+n/9xqf+22/3JKV+z+n/APcan/ttv9ySlfs/p/8A3Gp/7bb/AHJKV+z+n/8Acan/ALbb/ckp pJSklKSUpJSklKSUpJSklKSUpJSklKSUpJSklKSUpJTX6f8A8n43/E1/9SElNhJSklKSUpJSklKS xmp.iid:87C2620B8B2168118A6DACC7F62D29F2 AQBIAAAAAQAB/+4AE0Fkb2JlAGSAAAAAAQUAAgAD/9sAhAAMCAgICAgMCAgMEAsLCxAUDg0NDhQY cbo:813 Similarly, customer data gathered from social media channels, Google Analytics, emails and other modes may need to be integrated together to present it in one comprehensive buyer persona report. Some of the most common data management challenges organizations experience are figuring out the best way to organize high volumes of data, not having a fluid process in place, and spending too much time on data entry. [null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null null 363 0 R] The challenges include capture, curation, storage, search, sharing, analysis, and visualization.’ Given that the phenomenon is cutting across several xmp.iid:3272CD52162068118C14D4C9FB524B74 aQuBSixCk2v6iFKtibEqVaN1iNLSUTrEUIi8ooYFwSUsSihaUkLgohS8zodQihb0qv3G8zx3SVbx <> 227 0 obj 2f8AyYjxVOsVdirsVdirsVdirsVdirsVdirsVdirsVdirsVdirsVdirsVdirsVdirsVdiqS+TP8A AHJff83dX3TF2V/zl6v/AKVv+Y3+5L7/AJu6vumLsr/nL1f/AErf8xv9yX3/ADd1fdMXZX/OXq/+ <> 2011-12-07T11:17:24-05:00 xmp.iid:4CE2BDCC532268118A6DE14DB7BD3881 221 0 obj changed orion id per scott sellers 11/13/14. xmp.iid:C93F40F5072068118C14E6E62A137D40 2012-12-19T14:38:38-05:00 xmp.did:C320B312842268118083869E2DA97D9B 2011-12-07T10:38:15-05:00 data architecture and data management challenges, the ability to achieve and maintain a competitive edge through technology adoption will be severely impaired. Companies are increasingly looking at variations of data lake concepts that combine Hadoop Distributed File System infrastructure, event stream processing, relational and non-relational data stores, and other technologies. 0001046606 00000 n xmp.iid:BEB4D922A82468118C14AE612F76E548 36atP+ppu/8ApGOKu/TVp/1NN3/0jHFXfpq0/wCppu/+kY4q79NWn/U03f8A0jHFXfpq0/6mm7/6 ZeLys4TD03Xj80aUpIW0lcTU5PSltcXV5fVWZnaGlqa2xtbm9ic3R1dnd4eXp7fH1+f3/9oADAMB xmp.iid:C6A906DA062B68118A6DAF59A1B598E7 /wDmv/8AB/8A1CkpX/ji/wDmv/8AB/8A1CkpX/ji/wDmv/8AB/8A1CkpX/ji/wDmv/8AB/8A1Ckp xmp.iid:B4FDDC531E2068118C14D4C9FB524B74 xmp.iid:CCC96CBC0A2068118C14D4C9FB524B74 xmp.iid:94761F32E42068118C14D4C9FB524B74 2011-11-17T13:00:19-05:00 <> 2012-02-15T19:31:50-05:00 xmp.iid:1928239F072068118C14D4C9FB524B74 xmp.iid:4F14CD26632668118C14903982FFF37F QiMkFVLBYjM0coLRQwclklPw4fFjczUWorKDJkSTVGRFwqN0NhfSVeJl8rOEw9N14/NGJ5SkhbSV MjsyMjIyOzs7Ozs7Ozs7Ozs7Ozs7OztAQEBAQDtAQEBAQEBAQEBAQEBAQEBAQEBAQED/wAARCAD/ 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This paper, on the benefits of taking on master data management in a phased approach, is the first of a two-part white paper series written by David Loshin, president of Knowledge Integrity Inc. Loshin is a recognized thought leader and expert consultant in the areas of data quality, master data management and business intelligence. 36atP+ppu/8ApGOKu/TVp/1NN3/0jHFXfpq0/wCppu/+kY4q79NWn/U03f8A0jHFXfpq0/6mm7/6 /ZOwV90h3K//AI3fRf8AT5X+fX/6RS+/ZOwV90h3K/8A43nRv9Plf59f/pFL79k7BX3SHcq/8b3o Data management is the practice of collecting, keeping, and using data securely, efficiently, and cost-effectively. endobj xmp.iid:BAB4D922A82468118C14AE612F76E548 224 0 obj uxV2KuxV2KpL5M/5Q/Qf+2bZ/wDJiPFU6xV2KuxV2KuxV2KuxV2KuxV2KuxV2KuxV2KuxV2KuxV2 xmp.iid:B450CE36212468118083F8A915BFA979 qLjI2Oj4OUlZaXmJmam5ydnp+So6SlpqeoqaqrrK2ur6/9oADAMBAAIRAxEAPwCbeU/KflW58q6L This data becomes very important source for ... Data, process and management challenges. /OZ/6TS++z7BX3SHcsx9S+kt4sv/AM5n/pNL77PsFfc4eKRv1S6Y3h9x+Lm/+QQ++T8E/dIJmfVz xmp.iid:9AD66F41082068118C14809D762C8FFE By transitioning from a consolidation approach to a data utilization approach, you will see how MDM can contribute to a long-term information strategy that uses best practices to take advantage of shared repurposed enterprise information.

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