000			01411nam a2200289Ia 4500
003			NUBLRC
005			20241217034730.0
008			241210s9999 xx 000 0 und d
020			_a9781394165230
040			_cNUBLRC
050			_aHF 5548.2 .S68 2023 c.1
100			_aSouthekal, Prashanth H. _eAuthor
245		0	_aData quality: _bempowering business with analytics and AI / _cPrahanth H. Southekal.
260			_aCanada : _bJohn Wiley & Sons, Inc., _cc2023.
300			_axxvi, 270 pages ; _c25cm. _billustrations ;
365			_bPHP 2,397.00
504			_aIncludes appendix and index.
505			_aPart 1: Define phase.--Chapter 1: Introduction.--Chapter 2: Business data.--Chapter 3. Data quality in business--Part II. Analyze phase.--Chapter 4: Causes for ppor data quality.--Chapter 5: Data lifecycle and lineage.--Chapter 6: Profiling for data quality--Part III. Realize phase.--Chapter 7. reference architecture for data quality.--Chapter 8: Best practices to realize data quality.--Chapter 9: Best practice to realize data quality--Part IV.: Sustain phase.--Chapter 10: Data governance.--Chpater 11: Protecting data.--Chapter 12: Data ethics.
650			_aDATA QUALITY.
650			_aBUSINESS ANALYTICS.
650			_aARTIFICIAL INTELLIGENCE.
650			_aDATA MINING.
650			_aINFORMATION TECHNOLOGY.
650			_aBIG DATA.
650			_aDICISION MAKING.
942			_2lcc _cBK
999			_c5661 _d5661